diff --git a/.env.template b/.env.template
index 69152e7fa..64d3b2f67 100644
--- a/.env.template
+++ b/.env.template
@@ -50,6 +50,9 @@ QUANTIZE_8bit=True
 #**                         EMBEDDING SETTINGS                    **#
 #*******************************************************************#
 EMBEDDING_MODEL=text2vec
+#EMBEDDING_MODEL=m3e-large
+#EMBEDDING_MODEL=bge-large-en
+#EMBEDDING_MODEL=bge-large-zh
 KNOWLEDGE_CHUNK_SIZE=500
 KNOWLEDGE_SEARCH_TOP_SIZE=5
 ## EMBEDDING_TOKENIZER   - Tokenizer to use for chunking large inputs
diff --git a/.github/workflows/docker-image-publish.yml b/.github/workflows/docker-image-publish.yml
new file mode 100644
index 000000000..c2d36bf0e
--- /dev/null
+++ b/.github/workflows/docker-image-publish.yml
@@ -0,0 +1,35 @@
+
+name: Push docker image
+
+on:
+  release:
+    types: [published]
+  workflow_dispatch: 
+
+permissions:
+  contents: read
+
+jobs:
+  build-image:
+    runs-on: ubuntu-latest
+    # run unless event type is pull_request
+    if: github.event_name != 'pull_request'
+    steps:
+      - uses: actions/checkout@v3
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Build and push
+        uses: docker/build-push-action@v4
+        with:
+          context: .
+          file: ./docker/base/Dockerfile
+          platforms: linux/amd64
+          push: true
+          tags: eosphorosai/dbgpt:${{ github.ref_name }},eosphorosai/dbgpt:latest
\ No newline at end of file
diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml
index 304749dfb..9d5e52d7b 100644
--- a/.github/workflows/python-publish.yml
+++ b/.github/workflows/python-publish.yml
@@ -35,27 +35,4 @@ jobs:
       uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
       with:
         user: __token__
-        password: ${{ secrets.PYPI_API_TOKEN }}
-  build-image:
-    runs-on: ubuntu-latest
-    needs: deploy
-    # run unless event type is pull_request
-    if: github.event_name != 'pull_request'
-    steps:
-      - uses: actions/checkout@v3
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v2
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v2
-      - name: Login to Docker Hub
-        uses: docker/login-action@v2
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-      - name: Build and push
-        uses: docker/build-push-action@v4
-        with:
-          context: .
-          platforms: linux/amd64,linux/arm64
-          push: true
-          tags: eosphorosai/dbgpt:${{ github.ref_name }}
+        password: ${{ secrets.PYPI_API_TOKEN }}
\ No newline at end of file
diff --git a/README.md b/README.md
index eaaf983a5..b04c3285a 100644
--- a/README.md
+++ b/README.md
@@ -7,32 +7,34 @@
 
 <div align="center">
   <p>
-    <a href="https://github.com/csunny/DB-GPT">
-        <img alt="stars" src="https://img.shields.io/github/stars/csunny/db-gpt?style=social" />
+    <a href="https://github.com/eosphoros-ai/DB-GPT">
+        <img alt="stars" src="https://img.shields.io/github/stars/eosphoros-ai/db-gpt?style=social" />
     </a>
-    <a href="https://github.com/csunny/DB-GPT">
-        <img alt="forks" src="https://img.shields.io/github/forks/csunny/db-gpt?style=social" />
+    <a href="https://github.com/eosphoros-ai/DB-GPT">
+        <img alt="forks" src="https://img.shields.io/github/forks/eosphoros-ai/db-gpt?style=social" />
     </a>
     <a href="https://opensource.org/licenses/MIT">
       <img alt="License: MIT" src="https://img.shields.io/badge/License-MIT-yellow.svg" />
     </a>
-     <a href="https://github.com/csunny/DB-GPT/releases">
-      <img alt="Release Notes" src="https://img.shields.io/github/release/csunny/DB-GPT" />
+    <a href="https://opensource.org/licenses/MIT">
+      <img alt="License: MIT" src="https://img.shields.io/badge/License-MIT-yellow.svg" />
     </a>
-    <a href="https://github.com/csunny/DB-GPT/issues">
-      <img alt="Open Issues" src="https://img.shields.io/github/issues-raw/csunny/DB-GPT" />
+     <a href="https://github.com/eosphoros-ai/DB-GPT/releases">
+      <img alt="Release Notes" src="https://img.shields.io/github/release/eosphoros-ai/DB-GPT" />
     </a>
-    <a href="https://discord.gg/erwfqcMP">
-      <img alt="Discord" src="https://dcbadge.vercel.app/api/server/erwfqcMP?compact=true&style=flat" />
+    <a href="https://github.com/eosphoros-ai/DB-GPT/issues">
+      <img alt="Open Issues" src="https://img.shields.io/github/issues-raw/eosphoros-ai/DB-GPT" />
     </a>
-    <a href="https://codespaces.new/csunny/DB-GPT">
+    <a href="https://discord.gg/Y5rbqj4U">
+      <img alt="Discord" src="https://dcbadge.vercel.app/api/server/Y5rbqj4U?compact=true&style=flat" />
+    </a>
+    <a href="https://codespaces.new/eosphoros-ai/DB-GPT">
       <img alt="Open in GitHub Codespaces" src="https://github.com/codespaces/badge.svg" />
     </a>
   </p>
 
 
-[**简体中文**](README.zh.md) |[**Discord**](https://discord.gg/erwfqcMP) |[**Documents**](https://db-gpt.readthedocs.io/en/latest/)|[**Wechat**](https://github.com/csunny/DB-GPT/blob/main/README.zh.md#%E8%81%94%E7%B3%BB%E6%88%91%E4%BB%AC) 
-
+[**简体中文**](README.zh.md) |[**Discord**](https://discord.gg/Y5rbqj4U) |[**Documents**](https://db-gpt.readthedocs.io/en/latest/)|[**Wechat**](https://github.com/eosphoros-ai/DB-GPT/blob/main/README.zh.md#%E8%81%94%E7%B3%BB%E6%88%91%E4%BB%AC)|[**Community**](https://github.com/eosphoros-ai/community)
 </div>
 
 ## What is DB-GPT?
@@ -57,7 +59,7 @@ DB-GPT is an experimental open-source project that uses localized GPT large mode
 
 Run on an RTX 4090 GPU.
 
-https://github.com/csunny/DB-GPT/assets/13723926/55f31781-1d49-4757-b96e-7ef6d3dbcf80
+https://github.com/eosphoros-ai/DB-GPT/assets/13723926/55f31781-1d49-4757-b96e-7ef6d3dbcf80
 
 <!-- <video id="video" controls="" preload="auto" poster="assets/exector_sql.png">
       <source id="mp4" src="https://github.com/csunny/DB-GPT/assets/17919400/654b5a49-5ea4-4c02-b5b2-72d089dcc1f0" type="video/mp4">
@@ -139,9 +141,9 @@ The core capabilities mainly consist of the following parts:
 7. Multi-platform product interface: Supports various client products, such as web, mobile applications, and desktop applications.
 
 ### SubModule
-- [DB-GPT-Hub](https://github.com/csunny/DB-GPT-Hub) Text-to-SQL parsing with LLMs
-- [DB-GPT-Plugins](https://github.com/csunny/DB-GPT-Plugins) DB-GPT Plugins, Can run autogpt plugin directly
-- [DB-GPT-Web](https://github.com/csunny/DB-GPT-Web)  ChatUI for DB-GPT  
+- [DB-GPT-Hub](https://github.com/eosphoros-ai/DB-GPT-Hub) Text-to-SQL parsing with LLMs
+- [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins) DB-GPT Plugins, Can run autogpt plugin directly
+- [DB-GPT-Web](https://github.com/eosphoros-ai/DB-GPT-Web)  ChatUI for DB-GPT  
 
 ## Image
 🌐 [AutoDL Image](https://www.codewithgpu.com/i/csunny/DB-GPT/dbgpt-0.3.1-v2)
@@ -150,6 +152,7 @@ The core capabilities mainly consist of the following parts:
 ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)
 ![Linux](https://img.shields.io/badge/Linux-FCC624?style=for-the-badge&logo=linux&logoColor=black)
 ![macOS](https://img.shields.io/badge/mac%20os-000000?style=for-the-badge&logo=macos&logoColor=F0F0F0)
+![Windows](https://img.shields.io/badge/Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white)
 
 [**Quickstart**](https://db-gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html)
 
@@ -196,7 +199,7 @@ The MIT License (MIT)
 
 ## Contact Information
 We are working on building a community, if you have any ideas about building the community, feel free to contact us. 
-[![](https://dcbadge.vercel.app/api/server/erwfqcMP?compact=true&style=flat)](https://discord.gg/erwfqcMP)
+[![](https://dcbadge.vercel.app/api/server/Y5rbqj4U?compact=true&style=flat)](https://discord.gg/Y5rbqj4U)
 
 <p align="center">
   <img src="./assets/wechat.jpg" width="300px" />
diff --git a/README.zh.md b/README.zh.md
index df4bb77f6..954a26d34 100644
--- a/README.zh.md
+++ b/README.zh.md
@@ -7,30 +7,30 @@
 
 <div align="center">
   <p>
-    <a href="https://github.com/csunny/DB-GPT">
+    <a href="https://github.com/eosphoros-ai/DB-GPT">
         <img alt="stars" src="https://img.shields.io/github/stars/csunny/db-gpt?style=social" />
     </a>
-    <a href="https://github.com/csunny/DB-GPT">
+    <a href="https://github.com/eosphoros-ai/DB-GPT">
         <img alt="forks" src="https://img.shields.io/github/forks/csunny/db-gpt?style=social" />
     </a>
     <a href="https://opensource.org/licenses/MIT">
       <img alt="License: MIT" src="https://img.shields.io/badge/License-MIT-yellow.svg" />
     </a>
-     <a href="https://github.com/csunny/DB-GPT/releases">
+     <a href="https://github.com/eosphoros-ai/DB-GPT/releases">
       <img alt="Release Notes" src="https://img.shields.io/github/release/csunny/DB-GPT" />
     </a>
-    <a href="https://github.com/csunny/DB-GPT/issues">
+    <a href="https://github.com/eosphoros-ai/DB-GPT/issues">
       <img alt="Open Issues" src="https://img.shields.io/github/issues-raw/csunny/DB-GPT" />
     </a>
-    <a href="https://discord.gg/erwfqcMP">
-      <img alt="Discord" src="https://dcbadge.vercel.app/api/server/erwfqcMP?compact=true&style=flat" />
+    <a href="https://discord.gg/Y5rbqj4U">
+      <img alt="Discord" src="https://dcbadge.vercel.app/api/server/Y5rbqj4U?compact=true&style=flat" />
     </a>
-    <a href="https://codespaces.new/csunny/DB-GPT">
+    <a href="https://codespaces.new/eosphoros-ai/DB-GPT">
       <img alt="Open in GitHub Codespaces" src="https://github.com/codespaces/badge.svg" />
     </a>
   </p>
 
-[**English**](README.md)|[**Discord**](https://discord.gg/erwfqcMP) |[**Documents**](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/)|[**微信**](https://github.com/csunny/DB-GPT/blob/main/README.zh.md#%E8%81%94%E7%B3%BB%E6%88%91%E4%BB%AC)
+[**English**](README.md)|[**Discord**](https://discord.gg/erwfqcMP) |[**Documents**](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/)|[**微信**](https://github.com/csunny/DB-GPT/blob/main/README.zh.md#%E8%81%94%E7%B3%BB%E6%88%91%E4%BB%AC)|[**Community**](https://github.com/eosphoros-ai/community)
 
 </div>
 
@@ -158,6 +158,7 @@ DB-GPT基于 [FastChat](https://github.com/lm-sys/FastChat) 构建大模型运
 ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)
 ![Linux](https://img.shields.io/badge/Linux-FCC624?style=for-the-badge&logo=linux&logoColor=black)
 ![macOS](https://img.shields.io/badge/mac%20os-000000?style=for-the-badge&logo=macos&logoColor=F0F0F0)
+![Windows](https://img.shields.io/badge/Windows-0078D6?style=for-the-badge&logo=windows&logoColor=white)
 
 [**快速开始
 **](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/getting_started/install/deploy/deploy.html)
diff --git a/assets/wechat.jpg b/assets/wechat.jpg
index 1d56229f0..31c562943 100644
Binary files a/assets/wechat.jpg and b/assets/wechat.jpg differ
diff --git a/docker/base/Dockerfile b/docker/base/Dockerfile
index 3cb063e47..e273b8bd9 100644
--- a/docker/base/Dockerfile
+++ b/docker/base/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_IMAGE="nvidia/cuda:11.8.0-devel-ubuntu22.04"
+ARG BASE_IMAGE="nvidia/cuda:11.8.0-runtime-ubuntu22.04"
 
 FROM ${BASE_IMAGE}
 ARG BASE_IMAGE
@@ -11,16 +11,6 @@ ARG LANGUAGE="en"
 ARG PIP_INDEX_URL="https://pypi.org/simple"
 ENV PIP_INDEX_URL=$PIP_INDEX_URL
 
-RUN pip3 install --upgrade pip -i $PIP_INDEX_URL \
-    && (if [ "${LANGUAGE}" = "zh" ]; \
-        # language is zh, download zh_core_web_sm from github
-        then wget https://github.com/explosion/spacy-models/releases/download/zh_core_web_sm-3.5.0/zh_core_web_sm-3.5.0-py3-none-any.whl -O /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl \
-        && pip3 install /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl -i $PIP_INDEX_URL \
-        && rm /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl; \
-        # not zh, download directly
-        else python3 -m spacy download zh_core_web_sm; \
-    fi;)
-
 RUN mkdir -p /app
 
 # COPY only requirements.txt first to leverage Docker cache
@@ -30,20 +20,22 @@ COPY ./README.md /app/README.md
 
 WORKDIR /app
 
-# RUN pip3 install --upgrade pip -i $PIP_INDEX_URL \
-#     && (if [ "${BUILD_LOCAL_CODE}" = "false" ]; \
-#         # if not build local code, clone latest code from git, and rename to /app, TODO: download by version, like: https://github.com/eosphoros-ai/DB-GPT/archive/refs/tags/$DBGPT_VERSION.zip
-#         then git clone https://github.com/eosphoros-ai/DB-GPT.git /app \
-#         && cp /app/requirements.txt /tmp/requirements.txt; \
-#     fi;) \
-#     && pip3 install -r /tmp/requirements.txt -i $PIP_INDEX_URL --no-cache-dir \
-#     && rm /tmp/requirements.txt
-
-RUN pip3 install -i $PIP_INDEX_URL .
-
 # ENV CMAKE_ARGS="-DLLAMA_CUBLAS=ON -DLLAMA_AVX2=OFF -DLLAMA_F16C=OFF -DLLAMA_FMA=OFF"
 # ENV FORCE_CMAKE=1
-RUN pip3 install -i $PIP_INDEX_URL .[llama_cpp] \
+# Install all
+# RUN pip3 install -i $PIP_INDEX_URL ".[all]"
+
+RUN pip3 install --upgrade pip -i $PIP_INDEX_URL \
+    && pip3 install -i $PIP_INDEX_URL . \
+    # && pip3 install -i $PIP_INDEX_URL ".[llama_cpp]" \
+    && (if [ "${LANGUAGE}" = "zh" ]; \
+        # language is zh, download zh_core_web_sm from github
+        then wget https://github.com/explosion/spacy-models/releases/download/zh_core_web_sm-3.5.0/zh_core_web_sm-3.5.0-py3-none-any.whl -O /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl \
+        && pip3 install /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl -i $PIP_INDEX_URL \
+        && rm /tmp/zh_core_web_sm-3.5.0-py3-none-any.whl; \
+        # not zh, download directly
+        else python3 -m spacy download zh_core_web_sm; \
+    fi;) \
     && rm -rf `pip3 cache dir`
 
 ARG BUILD_LOCAL_CODE="false"
diff --git a/docker/base/build_image.sh b/docker/base/build_image.sh
index 101dfebad..03a3185c4 100755
--- a/docker/base/build_image.sh
+++ b/docker/base/build_image.sh
@@ -4,7 +4,7 @@ SCRIPT_LOCATION=$0
 cd "$(dirname "$SCRIPT_LOCATION")"
 WORK_DIR=$(pwd)
 
-BASE_IMAGE="nvidia/cuda:11.8.0-devel-ubuntu22.04"
+BASE_IMAGE="nvidia/cuda:11.8.0-runtime-ubuntu22.04"
 IMAGE_NAME="eosphorosai/dbgpt"
 # zh: https://pypi.tuna.tsinghua.edu.cn/simple
 PIP_INDEX_URL="https://pypi.org/simple"
@@ -14,7 +14,7 @@ BUILD_LOCAL_CODE="false"
 LOAD_EXAMPLES="true"
 
 usage () {
-    echo "USAGE: $0 [--base-image nvidia/cuda:11.8.0-devel-ubuntu22.04] [--image-name db-gpt]"
+    echo "USAGE: $0 [--base-image nvidia/cuda:11.8.0-runtime-ubuntu22.04] [--image-name db-gpt]"
     echo "  [-b|--base-image base image name] Base image name"
     echo "  [-n|--image-name image name] Current image name, default: db-gpt"
     echo "  [-i|--pip-index-url pip index url] Pip index url, default: https://pypi.org/simple"
diff --git a/docs/conf.py b/docs/conf.py
index 8d3df6678..1fc61dc1e 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -14,7 +14,7 @@ project = "DB-GPT"
 copyright = "2023, csunny"
 author = "csunny"
 
-version = "👏👏 0.3.5"
+version = "👏👏 0.3.6"
 html_title = project + " " + version
 
 # -- General configuration ---------------------------------------------------
@@ -56,5 +56,5 @@ gettext_uuid = True
 # -- Options for HTML output -------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
 
-html_theme = "sphinx_book_theme"
+html_theme = "furo"
 html_static_path = ["_static"]
diff --git a/docs/getting_started/application.rst b/docs/getting_started/application.rst
index 19494d1a1..747a01b08 100644
--- a/docs/getting_started/application.rst
+++ b/docs/getting_started/application.rst
@@ -17,4 +17,5 @@ DB-GPT product is a Web application that you can chat database, chat knowledge,
    :hidden:
 
    ./application/chatdb/chatdb.md
-   ./application/kbqa/kbqa.md
\ No newline at end of file
+   ./application/kbqa/kbqa.md
+   ./application/dashboard/dashboard.md
\ No newline at end of file
diff --git a/docs/getting_started/application/chatdb/chatdb.md b/docs/getting_started/application/chatdb/chatdb.md
index 5dca2aeb0..97cf22bba 100644
--- a/docs/getting_started/application/chatdb/chatdb.md
+++ b/docs/getting_started/application/chatdb/chatdb.md
@@ -1,19 +1,49 @@
 ChatData & ChatDB
 ==================================
-ChatData generates SQL from natural language and executes it. ChatDB involves conversing with metadata from the Database, including metadata about databases, tables, and fields.![db plugins demonstration](../../../../assets/chat_data/chat_data.jpg)
+ChatData generates SQL from natural language and executes it. ChatDB involves conversing with metadata from the
+Database, including metadata about databases, tables, and
+fields.![db plugins demonstration](../../../../assets/chat_data/chat_data.jpg)
+
 ### 1.Choose Datasource
-If you are using DB-GPT for the first time, you need to add a data source and set the relevant connection information for the data source.
+
+If you are using DB-GPT for the first time, you need to add a data source and set the relevant connection information
+for the data source.
+
+```{tip}
+there are some example data in DB-GPT-NEW/DB-GPT/docker/examples
+
+you can execute sql script to generate data.
+```
+
 #### 1.1 Datasource management
+
 ![db plugins demonstration](../../../../assets/chat_data/db_entry.png)
+
 #### 1.2 Connection management
+
 ![db plugins demonstration](../../../../assets/chat_data/db_connect.png)
+
 #### 1.3 Add Datasource
+
 ![db plugins demonstration](../../../../assets/chat_data/add_datasource.png)
+
+```{note}
+now DB-GPT support Datasource Type
+
+* Mysql
+* Sqlite
+* DuckDB
+* Clickhouse
+```
+
 ### 2.ChatData
-After successfully setting up the data source, you can start conversing with the database. You can ask it to generate SQL for you or inquire about relevant information on the database's metadata.
+
+After successfully setting up the data source, you can start conversing with the database. You can ask it to generate
+SQL for you or inquire about relevant information on the database's metadata.
 ![db plugins demonstration](../../../../assets/chat_data/chatdata_eg.png)
 
 ### 3.ChatDB
+
 ![db plugins demonstration](../../../../assets/chat_data/chatdb_eg.png)
 
 
diff --git a/docs/getting_started/application/dashboard/dashboard.md b/docs/getting_started/application/dashboard/dashboard.md
index e69de29bb..4e9fee8d8 100644
--- a/docs/getting_started/application/dashboard/dashboard.md
+++ b/docs/getting_started/application/dashboard/dashboard.md
@@ -0,0 +1,37 @@
+Dashboard
+==================================
+The purpose of the DB-GPT Dashboard is to empower data analysts with efficiency. DB-GPT provides intelligent reporting
+technology, allowing business analysts to perform self-service analysis directly using natural language and gain
+insights into their respective areas of business.
+
+```{note} Dashboard now support Datasource Type
+* Mysql
+* Sqlite
+* DuckDB
+```
+
+## Steps to Dashboard In DB-GPT
+
+#### 1 add datasource
+
+If you are using Dashboard for the first time, you need to mock some data to test. DB-GPT provide some dashboard test
+data in pilot/mock_datas/, you should follow the steps.
+![add_datasource](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/0afc72ea-83c8-45ff-8c36-213b1c6fb5dd)
+
+#### 2.Choose Dashboard Mode
+
+![create_space](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/5e888880-0e97-4b60-8e5c-b7e7224197f0)
+
+#### 3.Select Datasource
+
+![document](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/da2ac8b5-eca4-48ef-938f-f9dc1ca711b3)
+
+#### 4.Input your analysis goals
+
+![document](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/3f427350-5bd5-4675-8f89-1bd5c63ff2c6)
+![document](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/3d14a2da-165e-4b2f-a921-325c20fe5ae9)
+
+#### 5.Adjust and modify your report
+
+![upload](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/cb802b94-041b-44b4-b6ec-891bf8da52a4)
+
diff --git a/docs/getting_started/application/kbqa/kbqa.md b/docs/getting_started/application/kbqa/kbqa.md
index eb1e4acd8..88340e2c2 100644
--- a/docs/getting_started/application/kbqa/kbqa.md
+++ b/docs/getting_started/application/kbqa/kbqa.md
@@ -15,6 +15,18 @@ DB-GPT supports a knowledge question-answering module, which aims to create an i
 * Multi Vector DB
 ```
 
+```{note}
+If your DB type is Sqlite, there is nothing to do to build KBQA service database schema.
+
+If your DB type is Mysql or other DBTYPE, you will build kbqa service database schema.
+
+### Mysql
+$ mysql -h127.0.0.1 -uroot -paa12345678 < ./assets/schema/knowledge_management.sql
+
+or 
+
+execute DBGPT/assets/schema/knowledge_management.sql
+```
 
 ## Steps to KBQA In DB-GPT
 
diff --git a/docs/getting_started/faq/chatdb/chatdb_faq.md b/docs/getting_started/faq/chatdb/chatdb_faq.md
index 108db9ebf..19a0537dc 100644
--- a/docs/getting_started/faq/chatdb/chatdb_faq.md
+++ b/docs/getting_started/faq/chatdb/chatdb_faq.md
@@ -1,10 +1,24 @@
 Chat DB FAQ
 ==================================
-##### Q1: What difference between ChatData and ChatDB 
-ChatData generates SQL from natural language and executes it. ChatDB involves conversing with metadata from the Database, including metadata about databases, tables, and fields.
 
-##### Q2: The suitable llm model currently supported for text-to-SQL is? 
+##### Q1: What difference between ChatData and ChatDB
+
+ChatData generates SQL from natural language and executes it. ChatDB involves conversing with metadata from the
+Database, including metadata about databases, tables, and fields.
+
+##### Q2: The suitable llm model currently supported for text-to-SQL is?
+
 Now vicunna-13b-1.5 and llama2-70b is more suitable for text-to-SQL.
 
-##### Q3: How to fine-tune Text-to-SQL in DB-GPT 
+##### Q3: How to fine-tune Text-to-SQL in DB-GPT
+
 there is another github project for Text-to-SQL fine-tune (https://github.com/eosphoros-ai/DB-GPT-Hub)
+
+##### Q4: chatdata with clickhouse clickhouse-sqlalchemy 0.2.4 requires sqlalchemy<1.5,>=1.4.24, but you have sqlalchemy 2.0.20 which is incompatible
+
+Just set sqlalchemy<1.5,>=1.4.24
+
+```commandline
+pip install clickhouse-driver
+pip install sqlalchemy==1.4.24
+```
\ No newline at end of file
diff --git a/docs/getting_started/faq/deploy/deploy_faq.md b/docs/getting_started/faq/deploy/deploy_faq.md
index 0c3091042..4735ae2e3 100644
--- a/docs/getting_started/faq/deploy/deploy_faq.md
+++ b/docs/getting_started/faq/deploy/deploy_faq.md
@@ -2,26 +2,26 @@ Installation FAQ
 ==================================
 
 
-##### Q1: execute `pip install -r requirements.txt` error, found some package cannot find correct version.
+##### Q1: execute `pip install -e .` error, found some package cannot find correct version.
 change the pip source.
 
 ```bash
 # pypi
-$ pip install -r requirements.txt -i https://pypi.python.org/simple
+$ pip install -e . -i https://pypi.python.org/simple
 ```
 
 or
 
 ```bash
 # tsinghua
-$ pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/
+$ pip install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple/
 ```
 
 or
 
 ```bash
 # aliyun
-$ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/
+$ pip install -e . -i http://mirrors.aliyun.com/pypi/simple/
 ```
 
 ##### Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to open database file 
@@ -29,5 +29,55 @@ $ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/
 make sure you pull latest code or create directory with mkdir pilot/data
 
 ##### Q3: The model keeps getting killed.
+
 your GPU VRAM size is not enough, try replace your hardware or replace other llms.
 
+##### Q4: How to access website on the public network
+
+You can try to use gradio's [network](https://github.com/gradio-app/gradio/blob/main/gradio/networking.py) to achieve.
+```python
+import secrets
+from gradio import networking
+token=secrets.token_urlsafe(32)
+local_port=5000
+url = networking.setup_tunnel('0.0.0.0', local_port, token)
+print(f'Public url: {url}')
+time.sleep(60 * 60 * 24)
+```
+
+Open `url` with your browser to see the website.
+
+##### Q5: (Windows) execute `pip install -e .` error
+
+The error log like the following:
+``` 
+× python setup.py bdist_wheel did not run successfully.
+  │ exit code: 1
+  ╰─> [11 lines of output]
+      running bdist_wheel
+      running build
+      running build_py
+      creating build
+      creating build\lib.win-amd64-cpython-310
+      creating build\lib.win-amd64-cpython-310\cchardet
+      copying src\cchardet\version.py -> build\lib.win-amd64-cpython-310\cchardet
+      copying src\cchardet\__init__.py -> build\lib.win-amd64-cpython-310\cchardet
+      running build_ext
+      building 'cchardet._cchardet' extension
+      error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
+      [end of output]
+```
+
+Download and install `Microsoft C++ Build Tools` from [visual-cpp-build-tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
+
+
+
+##### Q6: `Torch not compiled with CUDA enabled`
+
+```
+2023-08-19 16:24:30 | ERROR | stderr |     raise AssertionError("Torch not compiled with CUDA enabled")
+2023-08-19 16:24:30 | ERROR | stderr | AssertionError: Torch not compiled with CUDA enabled
+```
+
+1. Install [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit-archive)
+2. Reinstall PyTorch [start-locally](https://pytorch.org/get-started/locally/#start-locally) with CUDA support.
\ No newline at end of file
diff --git a/docs/getting_started/faq/kbqa/kbqa_faq.md b/docs/getting_started/faq/kbqa/kbqa_faq.md
index adf667a3c..b1835d7dc 100644
--- a/docs/getting_started/faq/kbqa/kbqa_faq.md
+++ b/docs/getting_started/faq/kbqa/kbqa_faq.md
@@ -47,12 +47,24 @@ Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and r
 1.shutdown dbgpt_server(ctrl c)
 
 2.add column context for table knowledge_space
+
 ```commandline
 mysql -h127.0.0.1 -uroot -paa12345678
 ```
+
 3.execute sql ddl
+
 ```commandline
 mysql> use knowledge_management;
 mysql> ALTER TABLE knowledge_space ADD COLUMN context TEXT COMMENT "arguments context";
 ```
-4.restart dbgpt serve
\ No newline at end of file
+
+4.restart dbgpt serve
+
+##### Q5:Use Mysql, how to use DB-GPT KBQA
+
+build Mysql KBQA system database schema.
+
+```bash
+$ mysql -h127.0.0.1 -uroot -paa12345678 < ./assets/schema/knowledge_management.sql
+```
\ No newline at end of file
diff --git a/docs/getting_started/getting_started.md b/docs/getting_started/getting_started.md
index 228f9cfd1..4d0b3b5b6 100644
--- a/docs/getting_started/getting_started.md
+++ b/docs/getting_started/getting_started.md
@@ -1,249 +1,38 @@
 # Quickstart Guide
 
-This tutorial gives you a quick walkthrough about use DB-GPT with you environment and data.
+#### Welcome to DB-GPT!
 
-## Installation
+DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and
+environment. With this solution, you can be assured that there is no risk of data leakage, and your data is 100% private
+and secure.
 
-To get started, install DB-GPT with the following steps.
+Our vision is to make it easier and more convenient to build applications around databases and llm.
 
-### 1. Hardware Requirements 
-As our project has the ability to achieve ChatGPT performance of over 85%, there are certain hardware requirements. However, overall, the project can be deployed and used on consumer-grade graphics cards. The specific hardware requirements for deployment are as follows:
+## What can I do with DB-GPT?
 
-| GPU  | VRAM Size | Performance                                 |
-| --------- | --------- | ------------------------------------------- |
-| RTX 4090  | 24 GB     | Smooth conversation inference        |
-| RTX 3090  | 24 GB     | Smooth conversation inference, better than V100 |
-| V100      | 16 GB     | Conversation inference possible, noticeable stutter |
+- Chat Data with your Datasource.
+- Private domain knowledge question answering.
+- Quickly provide private LLM Model deployment.
 
-### 2. Install
+## Usage with DB-GPT.
 
-We use [Chroma embedding database](https://github.com/chroma-core/chroma) as the default for our vector database and use SQLite as the default for our database, so there is no need for special installation. If you choose to connect to other databases, you can follow our tutorial for installation and configuration. 
-For the entire installation process of DB-GPT, we use the miniconda3 virtual environment. Create a virtual environment and install the Python dependencies.
+- Follow DB-GPT
+  application [install tutorial](https://db-gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html).
+- Follow
+  DB-GPT [application usage](https://db-gpt.readthedocs.io/en/latest/getting_started/application/chatdb/chatdb.html).
 
-```bash
-python>=3.10
-conda create -n dbgpt_env python=3.10
-conda activate dbgpt_env
-pip install -r requirements.txt
-```
-Before use DB-GPT Knowledge Management
-```bash
-python -m spacy download zh_core_web_sm
-```
+If you encounter any issues while using DB-GPT (whether it's during installation or usage), you can refer to
+the [FAQ](https://db-gpt.readthedocs.io/en/latest/getting_started/faq/deploy/deploy_faq.html) section for assistance.
 
-Once the environment is installed, we have to create a new folder "models" in the DB-GPT project, and then we can put all the models downloaded from huggingface in this directory
+## 🗺️ Ecosystem
 
-```{tip}
-Notice make sure you have install git-lfs
-```
+- Github: https://github.com/eosphoros-ai/DB-GPT
+- PyPi:
+  - DB-GPT: https://pypi.org/simple/db-gpt.
 
-```bash
-git clone https://huggingface.co/lmsys/vicuna-13b-v1.5
-git clone https://huggingface.co/Tribbiani/vicuna-13b 
-git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
-git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
-git clone https://huggingface.co/THUDM/chatglm2-6b
-```
+## Associated projects
 
-The model files are large and will take a long time to download. During the download, let's configure the .env file, which needs to be copied and created from the .env.template
-
-```{tip}
-cp .env.template .env
-```
-
-You can configure basic parameters in the .env file, for example setting LLM_MODEL to the model to be used
-
-([Vicuna-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) based on llama-2 has been released, we recommend you set `LLM_MODEL=vicuna-13b-v1.5` to try this model)
-
-### 3. Run
-You can refer to this document to obtain the Vicuna weights: [Vicuna](https://github.com/lm-sys/FastChat/blob/main/README.md#model-weights) .
-
-If you have difficulty with this step, you can also directly use the model from [this link](https://huggingface.co/Tribbiani/vicuna-7b) as a replacement.
-
-set .env configuration set your vector store type, eg:VECTOR_STORE_TYPE=Chroma, now we support Chroma and Milvus(version > 2.1)
-
-
-1.Run db-gpt server 
-
-```bash
-$ python pilot/server/dbgpt_server.py
-```
-Open http://localhost:5000 with your browser to see the product.
-
-If you want to access an external LLM service, you need to 1.set the variables LLM_MODEL=YOUR_MODEL_NAME MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env file.
-2.execute dbgpt_server.py in light mode
-
-If you want to learn about dbgpt-webui, read https://github./csunny/DB-GPT/tree/new-page-framework/datacenter
-
-```bash
-$ python pilot/server/dbgpt_server.py --light
-```
-
-### 4. Docker (Experimental)
-
-#### 4.1 Building Docker image
-
-```bash
-$ bash docker/build_all_images.sh
-```
-
-Review images by listing them:
-
-```bash
-$ docker images|grep "eosphorosai/dbgpt"
-```
-
-Output should look something like the following:
-
-```
-eosphorosai/dbgpt-allinone       latest    349d49726588   27 seconds ago       15.1GB
-eosphorosai/dbgpt                latest    eb3cdc5b4ead   About a minute ago   14.5GB
-```
-
-`eosphorosai/dbgpt` is the base image, which contains the project's base dependencies and a sqlite database. `eosphorosai/dbgpt-allinone` build from `eosphorosai/dbgpt`, which contains a mysql database.
-
-You can pass some parameters to docker/build_all_images.sh.
-```bash
-$ bash docker/build_all_images.sh \
---base-image nvidia/cuda:11.8.0-devel-ubuntu22.04 \
---pip-index-url https://pypi.tuna.tsinghua.edu.cn/simple \
---language zh
-```
-
-You can execute the command `bash docker/build_all_images.sh --help` to see more usage.
-
-#### 4.2. Run all in one docker container
-
-**Run with local model and SQLite database**
-
-```bash
-$ docker run --gpus all -d \
-    -p 5000:5000 \
-    -e LOCAL_DB_TYPE=sqlite \
-    -e LOCAL_DB_PATH=data/default_sqlite.db \
-    -e LLM_MODEL=vicuna-13b \
-    -e LANGUAGE=zh \
-    -v /data/models:/app/models \
-    --name dbgpt \
-    eosphorosai/dbgpt
-```
-
-Open http://localhost:5000 with your browser to see the product.
-
-
-- `-e LLM_MODEL=vicuna-13b`, means we use vicuna-13b as llm model, see /pilot/configs/model_config.LLM_MODEL_CONFIG
-- `-v /data/models:/app/models`, means we mount the local model file directory `/data/models` to the docker container directory `/app/models`, please replace it with your model file directory.
-
-You can see log with command:
-
-```bash
-$ docker logs dbgpt -f
-```
-
-**Run with local model and MySQL database**
-
-```bash
-$ docker run --gpus all -d -p 3306:3306 \
-    -p 5000:5000 \
-    -e LOCAL_DB_HOST=127.0.0.1 \
-    -e LOCAL_DB_PASSWORD=aa123456 \
-    -e MYSQL_ROOT_PASSWORD=aa123456 \
-    -e LLM_MODEL=vicuna-13b \
-    -e LANGUAGE=zh \
-    -v /data/models:/app/models \
-    --name dbgpt \
-    eosphorosai/dbgpt-allinone
-```
-
-**Run with openai interface**
-
-```bash
-$ PROXY_API_KEY="You api key"
-$ PROXY_SERVER_URL="https://api.openai.com/v1/chat/completions"
-$ docker run --gpus all -d -p 3306:3306 \
-    -p 5000:5000 \
-    -e LOCAL_DB_HOST=127.0.0.1 \
-    -e LOCAL_DB_PASSWORD=aa123456 \
-    -e MYSQL_ROOT_PASSWORD=aa123456 \
-    -e LLM_MODEL=proxyllm \
-    -e PROXY_API_KEY=$PROXY_API_KEY \
-    -e PROXY_SERVER_URL=$PROXY_SERVER_URL \
-    -e LANGUAGE=zh \
-    -v /data/models/text2vec-large-chinese:/app/models/text2vec-large-chinese \
-    --name dbgpt \
-    eosphorosai/dbgpt-allinone
-```
-
-- `-e LLM_MODEL=proxyllm`, means we use proxy llm(openai interface, fastchat interface...)
-- `-v /data/models/text2vec-large-chinese:/app/models/text2vec-large-chinese`, means we mount the local text2vec model to the docker container.
-
-#### 4.3. Run with docker compose
-
-```bash
-$ docker compose up -d
-```
-
-Output should look something like the following:
-```
-[+] Building 0.0s (0/0)
-[+] Running 2/2
- ✔ Container db-gpt-db-1         Started                                                                                                                                                                                          0.4s
- ✔ Container db-gpt-webserver-1  Started
-```
-
-You can see log with command:
-
-```bash
-$ docker logs db-gpt-webserver-1 -f
-```
-
-Open http://localhost:5000 with your browser to see the product.
-
-You can open docker-compose.yml in the project root directory to see more details.
-
-
-### 5. Multiple GPUs
-
-DB-GPT will use all available gpu by default. And you can modify the setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu IDs.
-
-Optionally, you can also specify the gpu ID to use before the starting command, as shown below:
-
-````shell
-# Specify 1 gpu
-CUDA_VISIBLE_DEVICES=0 python3 pilot/server/dbgpt_server.py
-
-# Specify 4 gpus
-CUDA_VISIBLE_DEVICES=3,4,5,6 python3 pilot/server/dbgpt_server.py
-````
-
-You can modify the setting `MAX_GPU_MEMORY=xxGib` in `.env` file to configure the maximum memory used by each GPU.
-
-### 6. Not Enough Memory
-
-DB-GPT supported 8-bit quantization and 4-bit quantization.
-
-You can modify the setting `QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` in `.env` file to use quantization(8-bit quantization is enabled by default).
-
-Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit quantization can run with 48 GB of VRAM.
-
-Note: you need to install the latest dependencies according to [requirements.txt](https://github.com/eosphoros-ai/DB-GPT/blob/main/requirements.txt).
-
-
-Here are some of the VRAM size usage of the models we tested in some common scenarios.
-
-| Model     |  Quantize | VRAM Size |
-| --------- | --------- | --------- |
-| vicuna-7b-v1.5  | 4-bit  | 8 GB     |
-| vicuna-7b-v1.5  | 8-bit  | 12 GB     |
-| vicuna-13b-v1.5  | 4-bit  | 12 GB     |
-| vicuna-13b-v1.5  | 8-bit  | 20 GB     |
-| llama-2-7b  | 4-bit  | 8 GB     |
-| llama-2-7b  | 8-bit  | 12 GB     |
-| llama-2-13b  | 4-bit  | 12 GB     | 
-| llama-2-13b  | 8-bit  | 20 GB     |
-| llama-2-70b  | 4-bit  | 48 GB     |
-| llama-2-70b  | 8-bit  | 80 GB     |
-| baichuan-7b  | 4-bit  | 8 GB     |
-| baichuan-7b  | 8-bit  | 12 GB     |
-| baichuan-13b  | 4-bit  | 12 GB     |
-| baichuan-13b  | 8-bit  | 20 GB     |
\ No newline at end of file
+- 🧪 DB-GPT-Hub: https://github.com/eosphoros-ai/DB-GPT-Hub | an experimental project to implement Text-to-SQL parsing
+  using LLMs
+- 🏡 DB-GPT-Web: https://github.com/eosphoros-ai/DB-GPT-Web | Web application for DB-GPT.
+- 🚀 DB-GPT-Plugins: https://github.com/eosphoros-ai/DB-GPT-Web | DB-GPT Plugins Repo, Which support AutoGPT plugin.
\ No newline at end of file
diff --git a/docs/getting_started/install.rst b/docs/getting_started/install.rst
index 6a188e85e..abb90ed6e 100644
--- a/docs/getting_started/install.rst
+++ b/docs/getting_started/install.rst
@@ -2,7 +2,7 @@ Install
 ==================================
 DB-GPT product is a Web application that you can chat database, chat knowledge, text2dashboard.
 
-.. image:: ./assets/DB-GPT-Product.jpg
+.. image:: https://github.com/eosphoros-ai/DB-GPT/assets/13723926/13d68dd5-d052-4976-9aeb-60ae13d63d02
 
 
 - deploy
diff --git a/docs/getting_started/install/deploy/deploy.md b/docs/getting_started/install/deploy/deploy.md
index a2595cdff..2f2880fb2 100644
--- a/docs/getting_started/install/deploy/deploy.md
+++ b/docs/getting_started/install/deploy/deploy.md
@@ -49,7 +49,7 @@ For the entire installation process of DB-GPT, we use the miniconda3 virtual env
 python>=3.10
 conda create -n dbgpt_env python=3.10
 conda activate dbgpt_env
-pip install -r requirements.txt
+pip install -e .
 ```
 Before use DB-GPT Knowledge
 ```bash
@@ -97,15 +97,25 @@ You can configure basic parameters in the .env file, for example setting LLM_MOD
 
 ### 3. Run
 
+**(Optional) load examples into SQLlite**
+```bash
+bash ./scripts/examples/load_examples.sh
+```
+
+On windows platform:
+```PowerShell
+.\scripts\examples\load_examples.bat
+```
+
 1.Run db-gpt server 
 
 ```bash
-$ python pilot/server/dbgpt_server.py
+python pilot/server/dbgpt_server.py
 ```
 
 Open http://localhost:5000 with your browser to see the product.
 
-```tip
+```{tip}
 If you want to access an external LLM service, you need to
 
 1.set the variables LLM_MODEL=YOUR_MODEL_NAME, MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env file.
@@ -116,7 +126,7 @@ If you want to access an external LLM service, you need to
 If you want to learn about dbgpt-webui, read https://github./csunny/DB-GPT/tree/new-page-framework/datacenter
 
 ```bash
-$ python pilot/server/dbgpt_server.py --light
+python pilot/server/dbgpt_server.py --light
 ```
 
 ### Multiple GPUs
@@ -141,6 +151,4 @@ DB-GPT supported 8-bit quantization and 4-bit quantization.
 
 You can modify the setting `QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` in `.env` file to use quantization(8-bit quantization is enabled by default).
 
-Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit quantization can run with 48 GB of VRAM.
-
-Note: you need to install the latest dependencies according to [requirements.txt](https://github.com/eosphoros-ai/DB-GPT/blob/main/requirements.txt).
+Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit quantization can run with 48 GB of VRAM.
\ No newline at end of file
diff --git a/docs/getting_started/install/docker/docker.md b/docs/getting_started/install/docker/docker.md
index 07aae5349..377ad0297 100644
--- a/docs/getting_started/install/docker/docker.md
+++ b/docs/getting_started/install/docker/docker.md
@@ -3,46 +3,82 @@ Docker Install
 
 ### Docker (Experimental)
 
-#### 1. Building Docker image
+#### 1. Preparing docker images
+
+**Pull docker image from the [Eosphoros AI Docker Hub](https://hub.docker.com/u/eosphorosai)**
 
 ```bash
-$ bash docker/build_all_images.sh
+docker pull eosphorosai/dbgpt:latest
+```
+
+**(Optional) Building Docker image**
+
+```bash
+bash docker/build_all_images.sh
 ```
 
 Review images by listing them:
 
 ```bash
-$ docker images|grep db-gpt
+docker images|grep "eosphorosai/dbgpt"
 ```
 
 Output should look something like the following:
 
 ```
-db-gpt-allinone    latest     e1ffd20b85ac   45 minutes ago   14.5GB
-db-gpt             latest     e36fb0cca5d9   3 hours ago      14GB
+eosphorosai/dbgpt-allinone       latest    349d49726588   27 seconds ago       15.1GB
+eosphorosai/dbgpt                latest    eb3cdc5b4ead   About a minute ago   14.5GB
 ```
 
+`eosphorosai/dbgpt` is the base image, which contains the project's base dependencies and a sqlite database. `eosphorosai/dbgpt-allinone` build from `eosphorosai/dbgpt`, which contains a mysql database.
+
 You can pass some parameters to docker/build_all_images.sh.
 ```bash
-$ bash docker/build_all_images.sh \
---base-image nvidia/cuda:11.8.0-devel-ubuntu22.04 \
+bash docker/build_all_images.sh \
+--base-image nvidia/cuda:11.8.0-runtime-ubuntu22.04 \
 --pip-index-url https://pypi.tuna.tsinghua.edu.cn/simple \
 --language zh
 ```
 
 You can execute the command `bash docker/build_all_images.sh --help` to see more usage.
 
-#### 2. Run all in one docker container
+#### 2. Run docker container
 
-**Run with local model**
+**Run with local model and SQLite database**
 
 ```bash
-$ docker run --gpus "device=0" -d -p 3306:3306 \
+docker run --gpus all -d \
+    -p 5000:5000 \
+    -e LOCAL_DB_TYPE=sqlite \
+    -e LOCAL_DB_PATH=data/default_sqlite.db \
+    -e LLM_MODEL=vicuna-13b-v1.5 \
+    -e LANGUAGE=zh \
+    -v /data/models:/app/models \
+    --name dbgpt \
+    eosphorosai/dbgpt
+```
+
+Open http://localhost:5000 with your browser to see the product.
+
+
+- `-e LLM_MODEL=vicuna-13b-v1.5`, means we use vicuna-13b-v1.5 as llm model, see /pilot/configs/model_config.LLM_MODEL_CONFIG
+- `-v /data/models:/app/models`, means we mount the local model file directory `/data/models` to the docker container directory `/app/models`, please replace it with your model file directory.
+
+You can see log with command:
+
+```bash
+docker logs dbgpt -f
+```
+
+**Run with local model and MySQL database**
+
+```bash
+docker run --gpus all -d -p 3306:3306 \
     -p 5000:5000 \
     -e LOCAL_DB_HOST=127.0.0.1 \
     -e LOCAL_DB_PASSWORD=aa123456 \
     -e MYSQL_ROOT_PASSWORD=aa123456 \
-    -e LLM_MODEL=vicuna-13b \
+    -e LLM_MODEL=vicuna-13b-v1.5 \
     -e LANGUAGE=zh \
     -v /data/models:/app/models \
     --name db-gpt-allinone \
@@ -52,21 +88,21 @@ $ docker run --gpus "device=0" -d -p 3306:3306 \
 Open http://localhost:5000 with your browser to see the product.
 
 
-- `-e LLM_MODEL=vicuna-13b`, means we use vicuna-13b as llm model, see /pilot/configs/model_config.LLM_MODEL_CONFIG
+- `-e LLM_MODEL=vicuna-13b-v1.5`, means we use vicuna-13b-v1.5 as llm model, see /pilot/configs/model_config.LLM_MODEL_CONFIG
 - `-v /data/models:/app/models`, means we mount the local model file directory `/data/models` to the docker container directory `/app/models`, please replace it with your model file directory.
 
 You can see log with command:
 
 ```bash
-$ docker logs db-gpt-allinone -f
+docker logs db-gpt-allinone -f
 ```
 
 **Run with openai interface**
 
 ```bash
-$ PROXY_API_KEY="You api key"
-$ PROXY_SERVER_URL="https://api.openai.com/v1/chat/completions"
-$ docker run --gpus "device=0" -d -p 3306:3306 \
+PROXY_API_KEY="You api key"
+PROXY_SERVER_URL="https://api.openai.com/v1/chat/completions"
+docker run --gpus all -d -p 3306:3306 \
     -p 5000:5000 \
     -e LOCAL_DB_HOST=127.0.0.1 \
     -e LOCAL_DB_PASSWORD=aa123456 \
diff --git a/docs/getting_started/install/llm/llama/llama_cpp.md b/docs/getting_started/install/llm/llama/llama_cpp.md
index 7def97d2a..ebb3b8220 100644
--- a/docs/getting_started/install/llm/llama/llama_cpp.md
+++ b/docs/getting_started/install/llm/llama/llama_cpp.md
@@ -1,6 +1,8 @@
-### llama.cpp
+llama.cpp
+==================================
 
-DB-GPT is now supported by [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) through [llama.cpp](https://github.com/ggerganov/llama.cpp).
+
+DB-GPT already supports [llama.cpp](https://github.com/ggerganov/llama.cpp) via [llama-cpp-python](https://github.com/abetlen/llama-cpp-python).
 
 ## Running llama.cpp
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/chatdb/chatdb.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/chatdb/chatdb.po
index 7fb225754..8ba8706e9 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/chatdb/chatdb.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/chatdb/chatdb.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 18:31+0800\n"
+"POT-Creation-Date: 2023-08-22 13:28+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,99 +20,137 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/application/chatdb/chatdb.md:1
-#: e3984d7305214fc59fc356bd2e382543
+#: 45e6efede20d49d49f9e658bae7f4c08
 msgid "ChatData & ChatDB"
 msgstr "ChatData & ChatDB"
 
 #: ../../getting_started/application/chatdb/chatdb.md:3
-#: e74daab738984be990aaa21ab5af7046
+#: 777a279edbf4491095d24922ebe873a7
 msgid ""
 "ChatData generates SQL from natural language and executes it. ChatDB "
 "involves conversing with metadata from the Database, including metadata "
 "about databases, tables, and fields.![db plugins "
 "demonstration](../../../../assets/chat_data/chat_data.jpg)"
-msgstr "ChatData 是会将自然语言生成SQL，并将其执行。ChatDB是与Database里面的元数据，包括库、表、字段的元数据进行对话.![db plugins "
-"demonstration](../../../../assets/chat_data/chat_data.jpg)"
+msgstr ""
+"ChatData 是会将自然语言生成SQL，并将其执行。ChatDB是与Database里面的元数据，包括库、表、字段的元数据进行对话.![db "
+"plugins demonstration](../../../../assets/chat_data/chat_data.jpg)"
 
 #: ../../getting_started/application/chatdb/chatdb.md:3
-#: ../../getting_started/application/chatdb/chatdb.md:7
-#: ../../getting_started/application/chatdb/chatdb.md:9
-#: ../../getting_started/application/chatdb/chatdb.md:11
-#: ../../getting_started/application/chatdb/chatdb.md:13
-#: ../../getting_started/application/chatdb/chatdb.md:17
-#: 109d4292c91f4ca5a6b682189f10620a 23b1865780a24ad2b765196faff15550
-#: 3c87a8907e854e5d9a61b1ef658e5935 40eefe75a51e4444b1e4b67bdddc6da9
-#: 73eee6111545418e8f9ae533a255d589 876ee62e4e404da6b5d6c5cba0259e5c
+#: ../../getting_started/application/chatdb/chatdb.md:20
+#: ../../getting_started/application/chatdb/chatdb.md:24
+#: ../../getting_started/application/chatdb/chatdb.md:28
+#: ../../getting_started/application/chatdb/chatdb.md:40
+#: ../../getting_started/application/chatdb/chatdb.md:45
+#: 310dbee2849740f6946efa1a062bb87c 8e07c72f882341da8c342a657e88f162
+#: a016749ede034252b30557415226db56 c8513e01123443cbbb0e1afc26d46fff
+#: dad795c828cf453ab6faf22497bc0465
 msgid "db plugins demonstration"
 msgstr "db plugins demonstration"
 
-#: ../../getting_started/application/chatdb/chatdb.md:4
-#: a760078b833e434681da72c87342083f
+#: ../../getting_started/application/chatdb/chatdb.md:7
+#: 5c9db27b472f4edfab8e0a0d6ea0f958
 msgid "1.Choose Datasource"
 msgstr "1.Choose Datasource"
 
-#: ../../getting_started/application/chatdb/chatdb.md:5
-#: b68ac469c7d34026b1cb8b587a446737
+#: ../../getting_started/application/chatdb/chatdb.md:9
+#: 1a503a45cb134430b6619812a27cf371
 msgid ""
 "If you are using DB-GPT for the first time, you need to add a data source"
 " and set the relevant connection information for the data source."
 msgstr "如果你是第一次使用DB-GPT, 首先需要添加数据源，设置数据源的相关连接信息"
 
-#: ../../getting_started/application/chatdb/chatdb.md:6
-#: 8edecf9287ce4077a984617f0a06e30c
+#: ../../getting_started/application/chatdb/chatdb.md:13
+#: 70a1af47305b4adebb7d10cc87c63b5c
+msgid "there are some example data in DB-GPT-NEW/DB-GPT/docker/examples"
+msgstr "在DB-GPT-NEW/DB-GPT/docker/examples有数据示例"
+
+#: ../../getting_started/application/chatdb/chatdb.md:15
+#: d53369cf3c714865b2cacf5a8e203848
+msgid "you can execute sql script to generate data."
+msgstr "你可以通过执行sql脚本生成测试数据"
+
+#: ../../getting_started/application/chatdb/chatdb.md:18
+#: c031dd7c1f704cd8b5cb868222cfa318
 msgid "1.1 Datasource management"
 msgstr "1.1 Datasource management"
 
-#: ../../getting_started/application/chatdb/chatdb.md:7
-#: af7b5d2f6c9b4666a3466fed05968258
+#: ../../getting_started/application/chatdb/chatdb.md:20
+#: 7125e6532f0549cf9886a2e4d7de90ce
 msgid "![db plugins demonstration](../../../../assets/chat_data/db_entry.png)"
 msgstr "![db plugins demonstration](../../../../assets/chat_data/db_entry.png)"
 
-#: ../../getting_started/application/chatdb/chatdb.md:8
-#: f7d49ffe448d49169713452f54b3437c
+#: ../../getting_started/application/chatdb/chatdb.md:22
+#: b8097bea350444378b331878aa863e0a
 msgid "1.2 Connection management"
 msgstr "1.2 Connection管理"
 
-#: ../../getting_started/application/chatdb/chatdb.md:9
-#: 109a8c9da05d4ec7a80ae1665b8d48bb
+#: ../../getting_started/application/chatdb/chatdb.md:24
+#: 996b028a57db49099dd4560f713b9d57
 msgid "![db plugins demonstration](../../../../assets/chat_data/db_connect.png)"
 msgstr "![db plugins demonstration](../../../../assets/chat_data/db_connect.png)"
 
-#: ../../getting_started/application/chatdb/chatdb.md:10
-#: ac283fff85bf41efbd2cfeeda5980f9a
+#: ../../getting_started/application/chatdb/chatdb.md:26
+#: 3ecdb59a329e44fdb69fde720c86de82
 msgid "1.3 Add Datasource"
 msgstr "1.3 添加Datasource"
 
-#: ../../getting_started/application/chatdb/chatdb.md:11
-#: a25dec01f4824bfe88cc801c93bb3e3b
+#: ../../getting_started/application/chatdb/chatdb.md:28
+#: 9e1a14be9a75473ca73fb463d52eb688
 msgid ""
 "![db plugins "
 "demonstration](../../../../assets/chat_data/add_datasource.png)"
-msgstr "![db plugins "
+msgstr ""
+"![db plugins "
 "demonstration](../../../../assets/chat_data/add_datasource.png)"
 
-#: ../../getting_started/application/chatdb/chatdb.md:12
-#: 4751d6d3744148cab130a901594f673a
+#: ../../getting_started/application/chatdb/chatdb.md:31
+#: 9e7471c68e2849438cfb8838ab2936df
+msgid "now DB-GPT support Datasource Type"
+msgstr "DB-GPT支持数据源类型"
+
+#: ../../getting_started/application/chatdb/chatdb.md:32
+#: cec1011e56d543219cddd38a461c8c96
+msgid "Mysql"
+msgstr "Mysql"
+
+#: ../../getting_started/application/chatdb/chatdb.md:33
+#: f2aa6b4365a44a729bc7effa472ac2d5
+msgid "Sqlite"
+msgstr "Sqlite"
+
+#: ../../getting_started/application/chatdb/chatdb.md:34
+#: 9695394c8509482ab86e96fead3d11ca
+msgid "DuckDB"
+msgstr "DuckDB"
+
+#: ../../getting_started/application/chatdb/chatdb.md:35
+#: 92a13f0678764840842c140d244cebe9
+msgid "Clickhouse"
+msgstr "Clickhouse"
+
+#: ../../getting_started/application/chatdb/chatdb.md:38
+#: 727244f8ae0b4cb7a8a7aa13c17e717e
 msgid "2.ChatData"
 msgstr "2.ChatData"
 
-#: ../../getting_started/application/chatdb/chatdb.md:13
-#: bad82b572ba34ffb8669f0f8ff9b0a05
+#: ../../getting_started/application/chatdb/chatdb.md:40
+#: 165eb7ebefcd4bd0aabc5d664f3c86b1
 msgid ""
 "After successfully setting up the data source, you can start conversing "
 "with the database. You can ask it to generate SQL for you or inquire "
 "about relevant information on the database's metadata. ![db plugins "
 "demonstration](../../../../assets/chat_data/chatdata_eg.png)"
-msgstr "设置数据源成功后就可以和数据库进行对话了。你可以让它帮你生成SQL，也可以和问它数据库元数据的相关信息。 ![db plugins "
+msgstr ""
+"设置数据源成功后就可以和数据库进行对话了。你可以让它帮你生成SQL，也可以和问它数据库元数据的相关信息。 ![db plugins "
 "demonstration](../../../../assets/chat_data/chatdata_eg.png)"
 
-#: ../../getting_started/application/chatdb/chatdb.md:16
-#: 0bf9c5a2f3764b36abc82102c53d3cd4
+#: ../../getting_started/application/chatdb/chatdb.md:44
+#: 1562102c112248aab781dd58f7f328dd
 msgid "3.ChatDB"
 msgstr "3.ChatDB"
 
-#: ../../getting_started/application/chatdb/chatdb.md:17
-#: f06e7583c2484a959c1681b1db0acfaa
+#: ../../getting_started/application/chatdb/chatdb.md:45
+#: 8cbcf39784464bc1b62abf10f17658cc
 msgid "![db plugins demonstration](../../../../assets/chat_data/chatdb_eg.png)"
 msgstr "![db plugins demonstration](../../../../assets/chat_data/chatdb_eg.png)"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/dashboard/dashboard.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/dashboard/dashboard.po
index cd964f520..5b94c4b09 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/dashboard/dashboard.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/dashboard/dashboard.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 18:31+0800\n"
+"POT-Creation-Date: 2023-08-22 13:28+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,3 +19,140 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"
 
+#: ../../getting_started/application/dashboard/dashboard.md:1
+#: 8017757596ff4c7faa06f7e7d18902ca
+msgid "Dashboard"
+msgstr "Dashboard"
+
+#: ../../getting_started/application/dashboard/dashboard.md:3
+#: 5b84a61923404d8c81d5a1430b3fa12c
+msgid ""
+"The purpose of the DB-GPT Dashboard is to empower data analysts with "
+"efficiency. DB-GPT provides intelligent reporting technology, allowing "
+"business analysts to perform self-service analysis directly using natural"
+" language and gain insights into their respective areas of business."
+msgstr "DB-GPT Dashboard目的是赋能数据分析人员。DB-GPT通过提供智能报表技术，使得业务分析人员可以直接使用简单的自然语言进行自助分析。"
+
+#: ../../getting_started/application/dashboard/dashboard.md:8
+#: 48604cca2b3f482692bb65a01f0297a7
+msgid "Dashboard now support Datasource Type"
+msgstr "Dashboard目前支持的数据源类型"
+
+#: ../../getting_started/application/dashboard/dashboard.md:9
+#: e4371bc220be46f0833dc7d0c804f263
+msgid "Mysql"
+msgstr "Mysql"
+
+#: ../../getting_started/application/dashboard/dashboard.md:10
+#: 719c578796fa44a3ad062289aa4650d7
+msgid "Sqlite"
+msgstr "Sqlite"
+
+#: ../../getting_started/application/dashboard/dashboard.md:11
+#: c7817904bbf34dfca56a19a004937146
+msgid "DuckDB"
+msgstr "DuckDB"
+
+#: ../../getting_started/application/dashboard/dashboard.md:13
+#: 1cebeafe853d43809e6ced45d2b68812
+msgid "Steps to Dashboard In DB-GPT"
+msgstr "Dashboard使用步骤"
+
+#: ../../getting_started/application/dashboard/dashboard.md:15
+#: 977520bbea44423ea290617712482148
+msgid "1 add datasource"
+msgstr "1.添加数据源"
+
+#: ../../getting_started/application/dashboard/dashboard.md:17
+#: a8fcef153c68498fa9886051e8d7b072
+#, fuzzy
+msgid ""
+"If you are using Dashboard for the first time, you need to mock some data"
+" to test. DB-GPT provide some dashboard test data in pilot/mock_datas/, "
+"you should follow the steps. ![add_datasource](https://github.com"
+"/eosphoros-ai/DB-GPT/assets/13723926/0afc72ea-83c8-45ff-"
+"8c36-213b1c6fb5dd)"
+msgstr "如果你是第一次使用Dashboard，需要构造测试数据，DB-GPT在pilot/mock_datas/提供了测试数据，只需要将数据源进行添加即可"
+
+#: ../../getting_started/application/dashboard/dashboard.md:17
+#: 1abcaa9d7fad4b53a0622ab3e982e6d5
+msgid "add_datasource"
+msgstr "添加数据源"
+
+#: ../../getting_started/application/dashboard/dashboard.md:21
+#: 21ebb5bf568741a9b3d7a4275dde69fa
+msgid "2.Choose Dashboard Mode"
+msgstr "2.进入Dashboard"
+
+#: ../../getting_started/application/dashboard/dashboard.md:23
+#: 1b55d97634b44543acf8f367f77d8436
+msgid ""
+"![create_space](https://github.com/eosphoros-ai/DB-"
+"GPT/assets/13723926/5e888880-0e97-4b60-8e5c-b7e7224197f0)"
+msgstr ""
+"![create_space](https://github.com/eosphoros-ai/DB-"
+"GPT/assets/13723926/5e888880-0e97-4b60-8e5c-b7e7224197f0)"
+
+#: ../../getting_started/application/dashboard/dashboard.md:23
+#: 6c97d2aa26fa401cb3c4172bfe4aea6a
+msgid "create_space"
+msgstr "create_space"
+
+#: ../../getting_started/application/dashboard/dashboard.md:25
+#: ff8e96f78698428a9a578b4f90e0feb4
+msgid "3.Select Datasource"
+msgstr "3.选择数据源"
+
+#: ../../getting_started/application/dashboard/dashboard.md:27
+#: 277c924a6f2b49f98414cde95310384f
+msgid ""
+"![document](https://github.com/eosphoros-ai/DB-"
+"GPT/assets/13723926/da2ac8b5-eca4-48ef-938f-f9dc1ca711b3)"
+msgstr ""
+"![document](https://github.com/eosphoros-ai/DB-"
+"GPT/assets/13723926/da2ac8b5-eca4-48ef-938f-f9dc1ca711b3)"
+
+#: ../../getting_started/application/dashboard/dashboard.md:27
+#: ../../getting_started/application/dashboard/dashboard.md:31
+#: 33164f10fb38452fbf98be5aabaeeb91 3a46cb4427cf4ba386230dff47cf7647
+#: d0093988bb414c41a93e8ad6f88e8404
+msgid "document"
+msgstr "document"
+
+#: ../../getting_started/application/dashboard/dashboard.md:29
+#: 6a57e48482724d23adf51e888d126562
+msgid "4.Input your analysis goals"
+msgstr "4.输入分析目标"
+
+#: ../../getting_started/application/dashboard/dashboard.md:31
+#: cb96df3f9135450fbf71177978c50141
+msgid ""
+"![document](https://github.com/eosphoros-ai/DB-"
+"GPT/assets/13723926/3f427350-5bd5-4675-8f89-1bd5c63ff2c6) "
+"![document](https://github.com/eosphoros-ai/DB-GPT/assets/13723926"
+"/3d14a2da-165e-4b2f-a921-325c20fe5ae9)"
+msgstr ""
+"![document](https://github.com/eosphoros-ai/DB-"
+"GPT/assets/13723926/3f427350-5bd5-4675-8f89-1bd5c63ff2c6) "
+"![document](https://github.com/eosphoros-ai/DB-GPT/assets/13723926"
+"/3d14a2da-165e-4b2f-a921-325c20fe5ae9)"
+
+#: ../../getting_started/application/dashboard/dashboard.md:34
+#: ed0f008525334a36a900b82339591095
+msgid "5.Adjust and modify your report"
+msgstr "5.调整"
+
+#: ../../getting_started/application/dashboard/dashboard.md:36
+#: 8fc26117a2e1484b9452cfaf8c7f208b
+msgid ""
+"![upload](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/cb802b94"
+"-041b-44b4-b6ec-891bf8da52a4)"
+msgstr ""
+"![upload](https://github.com/eosphoros-ai/DB-GPT/assets/13723926/cb802b94"
+"-041b-44b4-b6ec-891bf8da52a4)"
+
+#: ../../getting_started/application/dashboard/dashboard.md:36
+#: 6d12166c3c574651a854534cc8c7e997
+msgid "upload"
+msgstr "upload"
+
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po
index 577979d80..c57a1769b 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application/kbqa/kbqa.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 18:31+0800\n"
+"POT-Creation-Date: 2023-08-18 14:11+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,12 +20,12 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/application/kbqa/kbqa.md:1
-#: a06d9329c98f44ffaaf6fc09ba53d97e
+#: c342c2c426ca40458d0de471f729bc42
 msgid "KBQA"
 msgstr ""
 
 #: ../../getting_started/application/kbqa/kbqa.md:3
-#: bb6943c115754b1fafb7467313100753
+#: 5bd2a6513a1f4560a94b85e28345b030
 msgid ""
 "DB-GPT supports a knowledge question-answering module, which aims to "
 "create an intelligent expert in the field of databases and provide "
@@ -33,76 +33,112 @@ msgid ""
 msgstr " DB-GPT支持知识问答模块，知识问答的初衷是打造DB领域的智能专家，为数据库从业人员解决专业的知识问题回答"
 
 #: ../../getting_started/application/kbqa/kbqa.md:5
-#: a13ac963479e4d4fbcbcc4fec7863274
+#: fb32ebbf11ec4f3f925f0dc157e5bb1e
 msgid "![chat_knowledge](../../../../assets/chat_knowledge.png)"
 msgstr "![chat_knowledge](../../../../assets/chat_knowledge.png)"
 
 #: ../../getting_started/application/kbqa/kbqa.md:5
-#: f4db3a8d04634059a74be1b2b3c948ef
+#: e44acc4009154e3396ebc8c69922c4e8
 msgid "chat_knowledge"
 msgstr "chat_knowledge"
 
 #: ../../getting_started/application/kbqa/kbqa.md:7
 #: ../../getting_started/application/kbqa/kbqa.md:10
-#: 86856cce95c845eb83ed44d8713b0ef6 f787e9ad9f7444a5923fe3476ab4d287
+#: 15d2742a567f4f2bb669086523691d11 d2228fc5179440729b594c9ac0626c2c
 msgid "KBQA abilities"
 msgstr "KBQA现有能力"
 
 #: ../../getting_started/application/kbqa/kbqa.md:11
-#: df1c88b28a2d46b2b3f5fae1caec000e
+#: f7d0eac20e6d46fc8090f6d8c8786306
 msgid "Knowledge Space."
 msgstr "知识空间"
 
 #: ../../getting_started/application/kbqa/kbqa.md:12
-#: 7f6c99d0c1394f08b246daa1343c24b2
+#: efde56662dbd4d7687fff81e2983e365
 msgid "Multi Source Knowledge Source Embedding."
 msgstr "多数据源Embedding"
 
 #: ../../getting_started/application/kbqa/kbqa.md:13
-#: 3c1274c3e65f426bbee219227f681e27
+#: 6788330bed0948b1804723540cbebe7b
 msgid "Embedding Argument Adjust"
 msgstr "Embedding参数自定义"
 
 #: ../../getting_started/application/kbqa/kbqa.md:14
-#: 52fb29f7ee8745e6b78145f5be23b8ce
+#: f7b04ae3bc3949bda0c8d1153953cabf
 msgid "Chat Knowledge"
 msgstr "知识问答"
 
 #: ../../getting_started/application/kbqa/kbqa.md:15
-#: 83e427c46d844c6a9bb5954342ae7c42
+#: 7c6365cf0026441d91e1d8ad7b97ff00
 msgid "Multi Vector DB"
 msgstr "多向量数据库管理"
 
 #: ../../getting_started/application/kbqa/kbqa.md:19
-#: 07c1e189d0f84db69b6a51cf23ede7dc
+#: e03c3631efc94e339fae6493b0866c44
+msgid ""
+"If your DB type is Sqlite, there is nothing to do to build KBQA service "
+"database schema."
+msgstr ""
+
+#: ../../getting_started/application/kbqa/kbqa.md:21
+#: 670b9666927f4662872b80e648b13670
+msgid ""
+"If your DB type is Mysql or other DBTYPE, you will build kbqa service "
+"database schema."
+msgstr ""
+
+#: ../../getting_started/application/kbqa/kbqa.md:23
+#: f4586b306b3542b4afaf431c0f215e98
+msgid "Mysql"
+msgstr ""
+
+#: ../../getting_started/application/kbqa/kbqa.md:24
+#: 6c8ef148ec0f429ebbde6a8b6c1686f0
+msgid ""
+"$ mysql -h127.0.0.1 -uroot -paa12345678 < "
+"./assets/schema/knowledge_management.sql"
+msgstr ""
+
+#: ../../getting_started/application/kbqa/kbqa.md:26
+#: 0ac3c50d793d4b9db9a8e2df72c46ec8
+msgid "or"
+msgstr ""
+
+#: ../../getting_started/application/kbqa/kbqa.md:28
+#: 3572f74a11a1408eb1537f91fc2492f6
+msgid "execute DBGPT/assets/schema/knowledge_management.sql"
+msgstr ""
+
+#: ../../getting_started/application/kbqa/kbqa.md:31
+#: 5ed3fd5cd4b547d5b01be4780ec11886
 msgid "Steps to KBQA In DB-GPT"
 msgstr "怎样一步一步使用KBQA"
 
-#: ../../getting_started/application/kbqa/kbqa.md:21
-#: 36e4195e5c3a4bedb7d11243e5705f0a
+#: ../../getting_started/application/kbqa/kbqa.md:33
+#: 5d882ed64d4d49daa2e582f67aad6f88
 msgid "1.Create Knowledge Space"
 msgstr "1.首先创建知识空间"
 
-#: ../../getting_started/application/kbqa/kbqa.md:22
-#: 5c92d41df2b04374a6c7ce40308f738b
+#: ../../getting_started/application/kbqa/kbqa.md:34
+#: bfdb91ff12c04094964d9f8a0c9bbfac
 msgid ""
 "If you are using Knowledge Space for the first time, you need to create a"
 " Knowledge Space and set your name, owner, description. "
 "![create_space](../../../../assets/kbqa/create_space.png)"
 msgstr "如果你是第一次使用，先创建知识空间，指定名字,拥有者和描述信息"
 
-#: ../../getting_started/application/kbqa/kbqa.md:22
-#: c5f6e842be384977be1bd667b1e0ab5d
+#: ../../getting_started/application/kbqa/kbqa.md:34
+#: ddbcb1112d5942db987a470bb935e1e4
 msgid "create_space"
 msgstr "create_space"
 
-#: ../../getting_started/application/kbqa/kbqa.md:27
-#: c98434920955416ca5273892f9086bc5
+#: ../../getting_started/application/kbqa/kbqa.md:39
+#: da62c5b0796c47f0a5e482e79e70e352
 msgid "2.Create Knowledge Document"
 msgstr "2.上传知识"
 
-#: ../../getting_started/application/kbqa/kbqa.md:28
-#: d63f798e8270455587d1afd98c72e995
+#: ../../getting_started/application/kbqa/kbqa.md:40
+#: 89e5377735f24f1d854f85ca4a387063
 msgid ""
 "DB-GPT now support Multi Knowledge Source, including Text, WebUrl, and "
 "Document(PDF, Markdown, Word, PPT, HTML and CSV). After successfully "
@@ -111,208 +147,209 @@ msgid ""
 "into the vector database. Alternatively, you can manually synchronize the"
 " document. You can also click on details to view the specific document "
 "slicing content."
-msgstr "DB-GPT支持多数据源，包括Text纯文本, WebUrl和Document(PDF, Markdown, Word, PPT, HTML and CSV)。上传文档成功后后台会自动将文档内容进行读取，切片，然后导入到向量数据库中，当然你也可以手动进行同步，你也可以点击详情查看具体的文档切片内容"
+msgstr ""
+"DB-GPT支持多数据源，包括Text纯文本, WebUrl和Document(PDF, Markdown, Word, PPT, HTML "
+"and "
+"CSV)。上传文档成功后后台会自动将文档内容进行读取，切片，然后导入到向量数据库中，当然你也可以手动进行同步，你也可以点击详情查看具体的文档切片内容"
 
-#: ../../getting_started/application/kbqa/kbqa.md:30
-#: 18becde7bdc34e9cb7017ff7711d1634
+#: ../../getting_started/application/kbqa/kbqa.md:42
+#: afd3140206664d079047e9225be40dc1
 msgid "2.1 Choose Knowledge Type:"
 msgstr "2.1 选择知识类型"
 
-#: ../../getting_started/application/kbqa/kbqa.md:31
-#: 755dfd18812249e591647d233ec9253b
+#: ../../getting_started/application/kbqa/kbqa.md:43
+#: 0ea63130eb5741979a9603a768b759e6
 msgid "![document](../../../../assets/kbqa/document.jpg)"
 msgstr "![document](../../../../assets/kbqa/document.jpg)"
 
-#: ../../getting_started/application/kbqa/kbqa.md:31
-#: 10faa2236fa84dc284f7ce6d68acc43c
+#: ../../getting_started/application/kbqa/kbqa.md:43
+#: cf7aacec8463485a811a1aa06d30f050
 msgid "document"
 msgstr "document"
 
-#: ../../getting_started/application/kbqa/kbqa.md:33
-#: 04449bfa78b14d1cb42c1259f67531d1
+#: ../../getting_started/application/kbqa/kbqa.md:45
+#: 0db8df4eb26b4139816e586136098c9b
 msgid "2.2 Upload Document:"
 msgstr "2.2上传文档"
 
-#: ../../getting_started/application/kbqa/kbqa.md:34
-#: de14e2d7a6c54623bfc8af2fc6e20c62
+#: ../../getting_started/application/kbqa/kbqa.md:46
+#: e4331acfd6a24a2094cbbe21fd46ac8b
 msgid "![upload](../../../../assets/kbqa/upload.jpg)"
 msgstr "![upload](../../../../assets/kbqa/upload.jpg)"
 
-#: ../../getting_started/application/kbqa/kbqa.md:34
-#: ../../getting_started/application/kbqa/kbqa.md:38
-#: ../../getting_started/application/kbqa/kbqa.md:43
-#: ../../getting_started/application/kbqa/kbqa.md:56
-#: 0e3ab13b9d064b238fba283d6f466051 65ea0b9b43ef4c64897a6e65781129c7
-#: cb65cb968a91492d9526f47e74b179e1 f0ff29911159497fb542942b6deb6972
+#: ../../getting_started/application/kbqa/kbqa.md:46
+#: ../../getting_started/application/kbqa/kbqa.md:50
+#: ../../getting_started/application/kbqa/kbqa.md:55
+#: ../../getting_started/application/kbqa/kbqa.md:68
+#: b8e7fc9cf2ef42fa8313d5f0b0c0e0ba
 msgid "upload"
 msgstr "upload"
 
-#: ../../getting_started/application/kbqa/kbqa.md:37
-#: 77d936d2502f41feb2721da86cc1ebb1
+#: ../../getting_started/application/kbqa/kbqa.md:49
+#: e5a87f0715a642f58cae29ce43d72648
 msgid "3.Chat With Knowledge"
 msgstr "3.知识问答"
 
-#: ../../getting_started/application/kbqa/kbqa.md:38
-#: ae72c3236e564949b142a945f3474425
+#: ../../getting_started/application/kbqa/kbqa.md:50
+#: cefec99c30ab4757896b328371725dd7
 msgid "![upload](../../../../assets/kbqa/begin_chat.jpg)"
 msgstr "![upload](../../../../assets/kbqa/begin_chat.jpg)"
 
-#: ../../getting_started/application/kbqa/kbqa.md:40
-#: b9d701985d404a9196bb896718f41e36
+#: ../../getting_started/application/kbqa/kbqa.md:52
+#: 5d870c26dfaa4916a5e17646d835c5fd
 msgid "4.Adjust Space arguments"
 msgstr "4.调整知识参数"
 
-#: ../../getting_started/application/kbqa/kbqa.md:41
-#: 6155bbf401ef44ea8d761c83ae5ceb9a
+#: ../../getting_started/application/kbqa/kbqa.md:53
+#: 56afbbc1dc144c43be0b3e5ff8c3eb55
 msgid ""
 "Each knowledge space supports argument customization, including the "
 "relevant arguments for vector retrieval and the arguments for knowledge "
 "question-answering prompts."
 msgstr "每一个知识空间都支持参数自定义, 包括向量召回的相关参数以及知识问答Promp参数"
 
-#: ../../getting_started/application/kbqa/kbqa.md:42
-#: b9ac70b5ee99435a962dcb040b5ba4fc
+#: ../../getting_started/application/kbqa/kbqa.md:54
+#: 994eb05bc17148608f5efc03a12797ff
 msgid "4.1 Embedding"
 msgstr "4.1 Embedding"
 
-#: ../../getting_started/application/kbqa/kbqa.md:43
-#: 0ca2398756924828a904921456b863b5
+#: ../../getting_started/application/kbqa/kbqa.md:55
+#: ab00c34d964a4a0ab6472a4ab68c6b9a
 msgid "Embedding Argument ![upload](../../../../assets/kbqa/embedding.png)"
 msgstr "Embedding Argument ![upload](../../../../assets/kbqa/embedding.png)"
 
-#: ../../getting_started/application/kbqa/kbqa.md:47
-#: e8b3e973e3b940e4bbf3180b7d6057ec
+#: ../../getting_started/application/kbqa/kbqa.md:59
+#: 0bdc576f5c4f4d46b84dfd3e57e2e004
 msgid "Embedding arguments"
 msgstr "Embedding arguments"
 
-#: ../../getting_started/application/kbqa/kbqa.md:48
-#: 1cff4790d546455abeca725ae8b53c0d
+#: ../../getting_started/application/kbqa/kbqa.md:60
+#: 515ed658cf8742e1898df7b6b0ed8fec
 msgid "topk:the top k vectors based on similarity score."
 msgstr "topk:相似性检索出tok条文档"
 
-#: ../../getting_started/application/kbqa/kbqa.md:49
-#: 525aaa02028b4900919526290b6da9ef
+#: ../../getting_started/application/kbqa/kbqa.md:61
+#: b2cec278eee640c2b1dea2e52032ca16
 msgid "recall_score:set a threshold score for the retrieval of similar vectors."
 msgstr "recall_score:向量检索相关度衡量指标分数"
 
-#: ../../getting_started/application/kbqa/kbqa.md:50
-#: dead3b559b134e52a3cf38e29b1982e1
+#: ../../getting_started/application/kbqa/kbqa.md:62
+#: ba0a2a2ff9454a7598d2217b8aefa565
 msgid "recall_type:recall type."
 msgstr "recall_type:召回类型"
 
-#: ../../getting_started/application/kbqa/kbqa.md:51
-#: 7c48de3186a14fcf96ee2bc6d715bd4c
+#: ../../getting_started/application/kbqa/kbqa.md:63
+#: b33b6627142d41c4a4e83b56d446c0c7
 msgid "model:A model used to create vector representations of text or other data."
 msgstr "model:embdding模型"
 
-#: ../../getting_started/application/kbqa/kbqa.md:52
-#: 875ba3d051b847a5b3357a4eef583c0a
+#: ../../getting_started/application/kbqa/kbqa.md:64
+#: 9113a950faca4515967a905256a29e8e
 msgid "chunk_size:The size of the data chunks used in processing."
 msgstr "chunk_size:文档切片阈值大小"
 
-#: ../../getting_started/application/kbqa/kbqa.md:53
-#: e43f2bb091594532ba69ed3e3a385cdd
+#: ../../getting_started/application/kbqa/kbqa.md:65
+#: dccc04f7efae40309ecaccb33375cf9c
 msgid "chunk_overlap:The amount of overlap between adjacent data chunks."
 msgstr "chunk_overlap:文本块之间的最大重叠量。保留一些重叠可以保持文本块之间的连续性（例如使用滑动窗口）"
 
-#: ../../getting_started/application/kbqa/kbqa.md:55
-#: e21e19688fa042a4b60860ffa6bcf119
+#: ../../getting_started/application/kbqa/kbqa.md:67
+#: 1740d538f7e7427a8f031b9e1e045f15
 msgid "4.2 Prompt"
 msgstr "4.2 Prompt"
 
-#: ../../getting_started/application/kbqa/kbqa.md:56
-#: 00f0bddcd9174b7a84a25b7fe6d286e9
+#: ../../getting_started/application/kbqa/kbqa.md:68
+#: a0faf9300f804cc1b99371946c1c86e0
 msgid "Prompt Argument ![upload](../../../../assets/kbqa/prompt.png)"
 msgstr "Prompt Argument ![upload](../../../../assets/kbqa/prompt.png)"
 
-#: ../../getting_started/application/kbqa/kbqa.md:60
-#: d5ff2b76a04949708b3c9050db647927
+#: ../../getting_started/application/kbqa/kbqa.md:72
+#: b8e6d1b4afdb4dcca99ed23107f3da0b
 msgid "Prompt arguments"
 msgstr "Prompt arguments"
 
-#: ../../getting_started/application/kbqa/kbqa.md:61
-#: 817a8744378546a2b049f44793b4554b
+#: ../../getting_started/application/kbqa/kbqa.md:73
+#: 9d3acae04dae4beb86577e58a9f0a8ed
 msgid ""
 "scene:A contextual parameter used to define the setting or environment in"
 " which the prompt is being used."
 msgstr "scene:上下文环境的场景定义"
 
-#: ../../getting_started/application/kbqa/kbqa.md:62
-#: 5330c26a4fc34ff6ba5fea1910cfbdc0
+#: ../../getting_started/application/kbqa/kbqa.md:74
+#: f33e888dd6494330a36ee4b091aa2f3a
 msgid ""
 "template:A pre-defined structure or format for the prompt, which can help"
 " ensure that the AI system generates responses that are consistent with "
 "the desired style or tone."
-msgstr ""
-"template:预定义的提示结构或格式，可以帮助确保AI系统生成与所期望的风格或语气一致的回复。"
+msgstr "template:预定义的提示结构或格式，可以帮助确保AI系统生成与所期望的风格或语气一致的回复。"
 
-#: ../../getting_started/application/kbqa/kbqa.md:63
-#: a34cd8248e6b44228868c2a02e12466f
+#: ../../getting_started/application/kbqa/kbqa.md:75
+#: 18337db544f4428ba32622a0d7d711f3
 msgid "max_token:The maximum number of tokens or words allowed in a prompt."
 msgstr "max_token: prompt token最大值"
 
-#: ../../getting_started/application/kbqa/kbqa.md:65
-#: 7da49aac293f462b9e3968fa1493dba1
+#: ../../getting_started/application/kbqa/kbqa.md:77
+#: 531a209f474246249ffaf66dec484dcc
 msgid "5.Change Vector Database"
 msgstr "5.Change Vector Database"
 
-#: ../../getting_started/application/kbqa/kbqa.md:67
-#: 680bfb451eb040e0aa55f8faa12bb75a
+#: ../../getting_started/application/kbqa/kbqa.md:79
+#: d6665f2efd73412a9dd5ac2ffd88b369
 msgid "Vector Store SETTINGS"
 msgstr "Vector Store SETTINGS"
 
-#: ../../getting_started/application/kbqa/kbqa.md:68
-#: 32820ae6807840119a786e92124ad209
+#: ../../getting_started/application/kbqa/kbqa.md:80
+#: 8a6f5b7af5b942928a76556425d943bd
 msgid "Chroma"
 msgstr "Chroma"
 
-#: ../../getting_started/application/kbqa/kbqa.md:69
-#: 7573aa05bc914fc2993b2531475b3b99
+#: ../../getting_started/application/kbqa/kbqa.md:81
+#: bbde039fef3445bf84cc2ded916e6960
 msgid "VECTOR_STORE_TYPE=Chroma"
 msgstr "VECTOR_STORE_TYPE=Chroma"
 
-#: ../../getting_started/application/kbqa/kbqa.md:70
-#: cc2c5521ba6e417eb5b3cf96375c2a08
+#: ../../getting_started/application/kbqa/kbqa.md:82
+#: 984d7eceee8c474880174f3a3ba0df7a
 msgid "MILVUS"
 msgstr "MILVUS"
 
-#: ../../getting_started/application/kbqa/kbqa.md:71
-#: fc5dfa54c8a24b069e2709c309e43faa
+#: ../../getting_started/application/kbqa/kbqa.md:83
+#: 8dbf41b03c58457896c4a9595fcb9517
 msgid "VECTOR_STORE_TYPE=Milvus"
 msgstr "VECTOR_STORE_TYPE=Milvus"
 
-#: ../../getting_started/application/kbqa/kbqa.md:72
-#: 8661384f0c4a40a0b79fad94bbee1792
+#: ../../getting_started/application/kbqa/kbqa.md:84
+#: 853a391ff6fc47af90e8fbaea06ee948
 msgid "MILVUS_URL=127.0.0.1"
 msgstr "MILVUS_URL=127.0.0.1"
 
-#: ../../getting_started/application/kbqa/kbqa.md:73
-#: 2035d343d34f47fa9fa84eb841afa2f8
+#: ../../getting_started/application/kbqa/kbqa.md:85
+#: ef21d47a76eb495dbafb3dd0e99ae3b2
 msgid "MILVUS_PORT=19530"
 msgstr "MILVUS_PORT=19530"
 
-#: ../../getting_started/application/kbqa/kbqa.md:74
-#: e0d8bd8d1dfb425bb50d5c8bf4a134ab
+#: ../../getting_started/application/kbqa/kbqa.md:86
+#: c06ba32595bb4572a468f8ca277c30fd
 msgid "MILVUS_USERNAME"
 msgstr "MILVUS_USERNAME"
 
-#: ../../getting_started/application/kbqa/kbqa.md:75
-#: dec547e6b4354c71857fa7c92c08bfa6
+#: ../../getting_started/application/kbqa/kbqa.md:87
+#: f09d2171e98c4b379cb7548715b3f60f
 msgid "MILVUS_PASSWORD"
 msgstr "MILVUS_PASSWORD"
 
-#: ../../getting_started/application/kbqa/kbqa.md:76
-#: 9ad3f325f79e49309bd3419f48015e90
+#: ../../getting_started/application/kbqa/kbqa.md:88
+#: e0f8de6b5bfb4689be9a7777796e5477
 msgid "MILVUS_SECURE="
 msgstr "MILVUS_SECURE="
 
-#: ../../getting_started/application/kbqa/kbqa.md:78
-#: f6e15bf479da496fbcdf7621bad4dda8
+#: ../../getting_started/application/kbqa/kbqa.md:90
+#: 15fee5a1d2d9404f955a27d77656b690
 msgid "WEAVIATE"
 msgstr "WEAVIATE"
 
-#: ../../getting_started/application/kbqa/kbqa.md:79
-#: f7838d5de0a9452486adceb3a26369ee
+#: ../../getting_started/application/kbqa/kbqa.md:91
+#: 632fe609a7694d51b4b908fed5a80415
 msgid "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network"
 msgstr "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.networkc"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po
index dbc03b315..38cb58cc1 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/chatdb/chatdb_faq.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 23:15+0800\n"
+"POT-Creation-Date: 2023-08-22 13:28+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,42 +20,57 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/faq/chatdb/chatdb_faq.md:1
-#: ffd1abb6b8f34e53a8ed83ede845b141
+#: 371f153c45484caea125cc4841a3ab7c
 msgid "Chat DB FAQ"
-msgstr ""
+msgstr "Chat DB FAQ"
 
 #: ../../getting_started/faq/chatdb/chatdb_faq.md:3
-#: 2467f6603ab341bbb1ce17f75dc06e5e
+#: f5d4e14316ef4d6db20b76872768b012
 msgid "Q1: What difference between ChatData and ChatDB"
 msgstr ""
 
 #: ../../getting_started/faq/chatdb/chatdb_faq.md:4
-#: 6e47803e92064e379a1bb74e2b3d347a
+#: ee16d1c26d54456ba5cc51f0f5fb82fe
 msgid ""
 "ChatData generates SQL from natural language and executes it. ChatDB "
 "involves conversing with metadata from the Database, including metadata "
 "about databases, tables, and fields."
-msgstr ""
+msgstr "ChatData 是将自然语言转换成SQL并执行获取结果，ChatDB主要是和数据库元数据信息（包括表、字段、索引信息）， 用于db诊断和数据库答疑"
 
 #: ../../getting_started/faq/chatdb/chatdb_faq.md:6
-#: fa3eef15697f43db963f6c875e85323b
+#: a65f2f4603e44a8396d84daa78ba337d
 msgid "Q2: The suitable llm model currently supported for text-to-SQL is?"
-msgstr ""
+msgstr "Q2: 目前DB-GPT最适合text-to-SQL的开源模型是什么"
 
 #: ../../getting_started/faq/chatdb/chatdb_faq.md:7
-#: 47f36a0a48c045269bcf790873d55f8c
+#: 77763b99ef924e2b90961e550f5c3d88
 msgid "Now vicunna-13b-1.5 and llama2-70b is more suitable for text-to-SQL."
-msgstr ""
+msgstr "vicunna-13b-1.5 和 llama2-70b"
 
 #: ../../getting_started/faq/chatdb/chatdb_faq.md:9
-#: 9f5ef9a05fac4eb3b27875171ec4e763
+#: 776a487a2c624cfdbf59fdb64a5649f5
 msgid "Q3: How to fine-tune Text-to-SQL in DB-GPT"
-msgstr ""
+msgstr "Q3: 我想fine-tune Text-to-SQL in DB-GPT"
 
 #: ../../getting_started/faq/chatdb/chatdb_faq.md:10
-#: c9b6f6e969e04805a59d9ccabc03c0b8
+#: 17ae1a5ee4234d3b86940d179262f37b
 msgid ""
 "there is another github project for Text-to-SQL fine-tune "
 "(https://github.com/eosphoros-ai/DB-GPT-Hub)"
 msgstr ""
+"参与另外一个项目 Text-to-SQL fine-tune (https://github.com/eosphoros-ai/DB-GPT-"
+"Hub)"
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:12
+#: d34324bce192484a8afe066f22854801
+msgid ""
+"Q4: chatdata with clickhouse clickhouse-sqlalchemy 0.2.4 requires "
+"sqlalchemy<1.5,>=1.4.24, but you have sqlalchemy 2.0.20 which is "
+"incompatible"
+msgstr "chatData 使用clickhouse时发现driver与clickhouse-sqlalchemy不兼容"
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:13
+#: e3746b0538b045e883cfbb17b0177f04
+msgid "Just set sqlalchemy<1.5,>=1.4.24"
+msgstr "调整下版本 sqlalchemy<1.5,>=1.4.24"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/deploy/deploy_faq.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/deploy/deploy_faq.po
index 6aa6fd5f9..15e761316 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/deploy/deploy_faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/deploy/deploy_faq.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 23:15+0800\n"
+"POT-Creation-Date: 2023-08-21 16:59+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,54 +20,74 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/faq/deploy/deploy_faq.md:1
-#: 6aa73265a43d4e6ea287e6265ef4efe5
+#: 4466dae5cd1048cd9c22450be667b05a
 msgid "Installation FAQ"
 msgstr "Installation FAQ"
 
 #: ../../getting_started/faq/deploy/deploy_faq.md:5
-#: 4efe241d5e724db5ab22548cfb88f8b6
+#: dfa13f5fdf1e4fb9af92b58a5bae2ae9
+#, fuzzy
 msgid ""
+"Q1: execute `pip install -e .` error, found some package cannot find "
+"correct version."
+msgstr ""
 "Q1: execute `pip install -r requirements.txt` error, found some package "
 "cannot find correct version."
-msgstr "Q1: execute `pip install -r requirements.txt` error, found some package "
-"cannot find correct version."
 
 #: ../../getting_started/faq/deploy/deploy_faq.md:6
-#: e837e10bdcfa49cebb71b32eece4831b
+#: c694387b681149d18707be047b46fa87
 msgid "change the pip source."
 msgstr "替换pip源."
 
 #: ../../getting_started/faq/deploy/deploy_faq.md:13
 #: ../../getting_started/faq/deploy/deploy_faq.md:20
-#: 84310ec0c54e4a02949da2e0b35c8c7d e8a7a8b38b7849b88c14fb6d647f9b63
+#: 5423bc84710c42ee8ba07e95467ce3ac 99aa6bb16764443f801a342eb8f212ce
 msgid "or"
 msgstr "或者"
 
 #: ../../getting_started/faq/deploy/deploy_faq.md:27
-#: 87797a5dafef47c8884f6f1be9a1fbd2
+#: 6cc878fe282f4a9ab024d0b884c57894
 msgid ""
 "Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to"
 " open database file"
-msgstr "Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to"
+msgstr ""
+"Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to"
 " open database file"
 
 #: ../../getting_started/faq/deploy/deploy_faq.md:29
-#: bc96b22e201c47ec999c8d98227a956d
+#: 18a71bc1062a4b1c8247068d4d49e25d
 msgid "make sure you pull latest code or create directory with mkdir pilot/data"
 msgstr "make sure you pull latest code or create directory with mkdir pilot/data"
 
 #: ../../getting_started/faq/deploy/deploy_faq.md:31
-#: d7938f1c70a64efa9948080a6d416964
+#: 0987d395af24440a95dd9367e3004a0b
 msgid "Q3: The model keeps getting killed."
 msgstr "Q3: The model keeps getting killed."
 
-#: ../../getting_started/faq/deploy/deploy_faq.md:32
-#: b072386586a64b2289c0fcdf6857b2b7
+#: ../../getting_started/faq/deploy/deploy_faq.md:33
+#: bfd90cb8f2914bba84a44573a9acdd6d
 msgid ""
 "your GPU VRAM size is not enough, try replace your hardware or replace "
 "other llms."
 msgstr "GPU显存不够, 增加显存或者换一个显存小的模型"
 
+#: ../../getting_started/faq/deploy/deploy_faq.md:35
+#: 09a9baca454d4b868fedffa4febe7c5c
+msgid "Q4: How to access website on the public network"
+msgstr ""
+
+#: ../../getting_started/faq/deploy/deploy_faq.md:37
+#: 3ad8d2cf2b4348a6baed5f3e302cd58c
+msgid ""
+"You can try to use gradio's [network](https://github.com/gradio-"
+"app/gradio/blob/main/gradio/networking.py) to achieve."
+msgstr ""
+
+#: ../../getting_started/faq/deploy/deploy_faq.md:48
+#: 90b35959c5854b69acad9b701e21e65f
+msgid "Open `url` with your browser to see the website."
+msgstr ""
+
 #~ msgid ""
 #~ "Q2: When use Mysql, Access denied "
 #~ "for user 'root@localhost'(using password :NO)"
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po
index 1b352e972..885826ddd 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/kbqa/kbqa_faq.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 18:31+0800\n"
+"POT-Creation-Date: 2023-08-18 14:11+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,34 +20,34 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:1
-#: bce4fd8751dd49bb8ab89a651094cfe1
+#: 348b327c869643c8baaafaddb9e7e6d4
 msgid "KBQA FAQ"
-msgstr ""
+msgstr "KBQA FAQ"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:4
-#: c9714f70a03f422fae7bdb2b3b3c8be5
+#: b2d05eeaec0b445ab3283e0e4eee028a
 msgid "Q1: text2vec-large-chinese not found"
-msgstr ""
+msgstr "Q1: text2vec-large-chinese not found"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:6
-#: 1c56b9081adb46b29063947659e67083
+#: d64bad7091de4b439ab80cd754b3e68f
 msgid ""
 "make sure you have download text2vec-large-chinese embedding model in "
 "right way"
-msgstr ""
+msgstr "确认下载text2vec-large-chinese模型姿势以及路径正确"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:18
-#: 39763bdbc6824675b293f0f219fc05bb
+#: 15a4987b681241cfa6dc4fc08dbebce3
 msgid "Q2:How to change Vector DB Type in DB-GPT."
-msgstr ""
+msgstr "怎么修改向量数据库类型"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:20
-#: 225cc6e5b6944ce3b675845aa93afb66
+#: 6566d91820334c8fac964fe7e012acc7
 msgid "Update .env file and set VECTOR_STORE_TYPE."
-msgstr ""
+msgstr "怎样在.env文件设置VECTOR_STORE_TYPE"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:22
-#: 5ad12db4aed44f4890911b5aea9529ce
+#: 124dfe106c4b4afeadf0f2bc4b146f50
 msgid ""
 "DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate vector "
 "database. If you want to change vector db, Update your .env, set your "
@@ -55,44 +55,57 @@ msgid ""
 "Milvus(>2.1), if you set Milvus, please set MILVUS_URL and MILVUS_PORT) "
 "If you want to support more vector db, you can integrate yourself.[how to"
 " integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
-msgstr ""
+msgstr "DB-GPT当前支持向量数据库有Chroma(Default), Milvus(>2.1), Weaviate. 可以在在.env文件设置VECTOR_STORE_TYP，如果你想支持更多向量数据库， 参考[how to"
+" integrate](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
+
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:38
-#: f8dd19ff86244cc7be91b7ab9190baeb
+#: 5da7eb1fda5d43268eda0fab9d387dbb
 msgid "Q3:When I use vicuna-13b, found some illegal character like this."
-msgstr ""
+msgstr "当使用vicuna系列模型时出现乱码。"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:43
-#: ec4a69476d4e4e4d92619ade829c2b39
+#: 80f9785ca43f4f8a9475556bffab28a7
 msgid ""
 "Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE "
 "smaller, and reboot server."
-msgstr ""
+msgstr "通过在.env文件将KNOWLEDGE_SEARCH_TOP_SIZE设置更小点或者在文档界面点击参数设置，将topk设置更小点"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:45
-#: 5b039a860c0b4cb088d042467ad2a49c
+#: 7627f9349fbb40968537866075e53541
 msgid ""
 "Q4:space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
 " 'knowledge_space.context' in 'field list'\")"
-msgstr ""
+msgstr "space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
+" 'knowledge_space.context' in 'field list'\")"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:47
-#: bafac5e248894263a77ab688922df520
+#: e4c8bc526f1744ca880fd0f5faaa18c6
 msgid "1.shutdown dbgpt_server(ctrl c)"
-msgstr ""
+msgstr "1.终止 dbgpt_server(ctrl c)"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:49
-#: 8ff5ca901f684e8ebe951f8c053ab925
+#: 25762770ad7b4e52aa60c1b8a274331b
 msgid "2.add column context for table knowledge_space"
-msgstr ""
+msgstr "2.新增列 `context` for table knowledge_space"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:53
-#: ea9f945678aa426894f0a12013f8fe5c
+#: b025ea011b704eaab5413514a00ada4a
 msgid "3.execute sql ddl"
-msgstr ""
+msgstr "3.执行ddl"
 
 #: ../../getting_started/faq/kbqa/kbqa_faq.md:58
-#: 1a7941f2f1e94d359095e92b470ee02c
+#: 2c25d510b7cc4386a962be130232f39c
 msgid "4.restart dbgpt serve"
-msgstr ""
+msgstr "4.重启dbgpt server"
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:60
+#: 36aedd2404e84caf90fa6565fc05ee1f
+msgid "Q5:Use Mysql, how to use DB-GPT KBQA"
+msgstr "Q5:当使用 Mysql数据库时, 使用DB-GPT怎么初始化 KBQA service database schema"
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:61
+#: bb01d8d145f64038bbacde1f05e69be1
+msgid "build Mysql KBQA system database schema."
+msgstr "构建Mysql KBQA system database schema"
 
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po
index 260d2dd09..4be1ae177 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq/llm/llm_faq.po
@@ -21,67 +21,68 @@ msgstr ""
 
 #: ../../getting_started/faq/llm/llm_faq.md:1 f79c82f385904385b08618436e600d9f
 msgid "LLM USE FAQ"
-msgstr ""
+msgstr "LLM模型使用FAQ"
 
 #: ../../getting_started/faq/llm/llm_faq.md:3 1fc802fa69224062b02403bc35084c18
 msgid "Q1:how to use openai chatgpt service"
-msgstr ""
+msgstr "我怎么使用OPENAI服务"
 
 #: ../../getting_started/faq/llm/llm_faq.md:4 9094902d148a4cc99fe72aa0e41062ae
 msgid "change your LLM_MODEL"
-msgstr ""
+msgstr "通过在.env文件设置LLM_MODEL"
 
 #: ../../getting_started/faq/llm/llm_faq.md:9 07073eb8d9eb4988a3b035666c63d3fb
 msgid "set your OPENAPI KEY"
-msgstr ""
+msgstr "set your OPENAPI KEY"
 
 #: ../../getting_started/faq/llm/llm_faq.md:15 a71bb0d1181e47368a286b5694a00056
 msgid "make sure your openapi API_KEY is available"
-msgstr ""
+msgstr "确认openapi API_KEY是否可用"
 
 #: ../../getting_started/faq/llm/llm_faq.md:17 789b003864824970923bac474a9ab0cd
 msgid "Q2 how to use MultiGPUs"
-msgstr ""
+msgstr "Q2 怎么使用 MultiGPUs"
 
 #: ../../getting_started/faq/llm/llm_faq.md:18 4be3dd71a8654202a210bcb11c50cc79
 msgid ""
 "DB-GPT will use all available gpu by default. And you can modify the "
 "setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu"
 " IDs."
-msgstr ""
+msgstr "DB-GPT默认加载可利用的gpu，你也可以通过修改 在`.env`文件 `CUDA_VISIBLE_DEVICES=0,1`来指定gpu IDs"
 
 #: ../../getting_started/faq/llm/llm_faq.md:20 3a00c5fff666451cacda7f9af37564b9
 msgid ""
 "Optionally, you can also specify the gpu ID to use before the starting "
 "command, as shown below:"
-msgstr ""
+msgstr "你也可以指定gpu ID启动"
 
 #: ../../getting_started/faq/llm/llm_faq.md:30 7fef386f3a3443569042e7d8b9a3ff15
 msgid ""
 "You can modify the setting `MAX_GPU_MEMORY=xxGib` in `.env` file to "
 "configure the maximum memory used by each GPU."
-msgstr ""
+msgstr "同时你可以通过在.env文件设置`MAX_GPU_MEMORY=xxGib`修改每个GPU的最大使用内存"
 
 #: ../../getting_started/faq/llm/llm_faq.md:32 d75d440da8ab49a3944c3a456db25bee
 msgid "Q3 Not Enough Memory"
-msgstr ""
+msgstr "Q3 机器显存不够 "
 
 #: ../../getting_started/faq/llm/llm_faq.md:34 2a2cd59382e149ffb623cb3d42754dca
 msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
-msgstr ""
+msgstr "DB-GPT 支持 8-bit quantization 和 4-bit quantization."
 
 #: ../../getting_started/faq/llm/llm_faq.md:36 755131812baa4f5a99b706849459e10a
 msgid ""
 "You can modify the setting `QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` "
 "in `.env` file to use quantization(8-bit quantization is enabled by "
 "default)."
-msgstr ""
+msgstr "你可以通过在.env文件设置`QUANTIZE_8bit=True` or `QUANTIZE_4bit=True`"
 
 #: ../../getting_started/faq/llm/llm_faq.md:38 b85424bc11134af985f687d8ee8d2c9f
 msgid ""
 "Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit"
 " quantization can run with 48 GB of VRAM."
-msgstr ""
+msgstr "Llama-2-70b with 8-bit quantization 可以运行在 80 GB VRAM机器， 4-bit "
+"quantization可以运行在 48 GB VRAM"
 
 #: ../../getting_started/faq/llm/llm_faq.md:40 b6e4db679636492c9e4170a33fd6f638
 msgid ""
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/getting_started.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/getting_started.po
index f7bd2cfff..024349a9b 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/getting_started.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/getting_started.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 0.3.0\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-16 18:31+0800\n"
+"POT-Creation-Date: 2023-08-23 17:00+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,492 +19,117 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"
 
-#: ../../getting_started/getting_started.md:1 70e40ad608d54bcfae6faf0437c09b6f
+#: ../../getting_started/getting_started.md:1 f5e3f55f96de414183847de3e1eb0a75
 msgid "Quickstart Guide"
 msgstr "使用指南"
 
-#: ../../getting_started/getting_started.md:3 c22ff099d6e940f7938dcea0e2265f11
+#: ../../getting_started/getting_started.md:3 39ac3167d0044868b9d9efca953e73c5
+msgid "Welcome to DB-GPT!"
+msgstr "欢迎来到DB-GPT!"
+
+#: ../../getting_started/getting_started.md:5 bdc699f3da554c6eb46eba0636fe7bda
 msgid ""
-"This tutorial gives you a quick walkthrough about use DB-GPT with you "
-"environment and data."
-msgstr "本教程为您提供了关于如何使用DB-GPT的使用指南。"
+"DB-GPT is an experimental open-source project that uses localized GPT "
+"large models to interact with your data and environment. With this "
+"solution, you can be assured that there is no risk of data leakage, and "
+"your data is 100% private and secure."
+msgstr ""
+"随着大模型的发布迭代，大模型变得越来越智能，在使用大模型的过程当中，遇到极大的数据安全与隐私挑战。在利用大模型能力的过程中我们的私密数据跟环境需要掌握自己的手里，完全可控，避免任何的数据隐私泄露以及安全风险。基于此"
+"，我们发起了DB-GPT项目，为所有以数据库为基础的场景，构建一套完整的私有大模型解决方案。 "
+"此方案因为支持本地部署，所以不仅仅可以应用于独立私有环境，而且还可以根据业务模块独立部署隔离，让大模型的能力绝对私有、安全、可控。"
 
-#: ../../getting_started/getting_started.md:5 dc717e76b3194a85ac5b9e8a4479b197
-msgid "Installation"
-msgstr "安装"
-
-#: ../../getting_started/getting_started.md:7 a1d30c3d01b94310b89fae16ac581157
-msgid "To get started, install DB-GPT with the following steps."
-msgstr "请按照以下步骤安装DB-GPT"
-
-#: ../../getting_started/getting_started.md:9 bab013745cb24538ac568b97045b72cc
-msgid "1. Hardware Requirements"
-msgstr "1. 硬件要求"
-
-#: ../../getting_started/getting_started.md:10 7dd84870db394338a5c7e63b171207e0
+#: ../../getting_started/getting_started.md:7 7d1a79640331431e85d5c54075dca1fd
 msgid ""
-"As our project has the ability to achieve ChatGPT performance of over "
-"85%, there are certain hardware requirements. However, overall, the "
-"project can be deployed and used on consumer-grade graphics cards. The "
-"specific hardware requirements for deployment are as follows:"
-msgstr "由于我们的项目有能力达到85%以上的ChatGPT性能，所以对硬件有一定的要求。但总体来说，我们在消费级的显卡上即可完成项目的部署使用，具体部署的硬件说明如下:"
+"Our vision is to make it easier and more convenient to build applications"
+" around databases and llm."
+msgstr "我们的愿景是让围绕数据库构建大模型应用更简单，更方便。"
 
-#: ../../getting_started/getting_started.md 055d07f830c54303a0b5596601c58870
-msgid "GPU"
-msgstr "GPU"
+#: ../../getting_started/getting_started.md:9 f400d65e13e0405d8aea576c02a7b02a
+msgid "What can I do with DB-GPT?"
+msgstr "通过DB-GPT我能做什么"
 
-#: ../../getting_started/getting_started.md
-#: ../../getting_started/getting_started.md:50 7323cee42940438b8a0752d3c2355e59
-#: e3fc2c10f81b4fe2ac0bfd9fe78feed9
-msgid "VRAM Size"
-msgstr "显存大小"
+#: ../../getting_started/getting_started.md:10 2b161262a21b474ca7c191ed0f9ab6b0
+msgid "Chat Data with your Datasource."
+msgstr "和自己的数据聊天，进行数据分析"
 
-#: ../../getting_started/getting_started.md 68831daf63f14dcd92088dd6c866f110
-msgid "Performance"
-msgstr "显存大小"
+#: ../../getting_started/getting_started.md:11 0f1322f19cea45768b5bde4448dfea5e
+msgid "Private domain knowledge question answering."
+msgstr "私有领域的知识问答"
 
-#: ../../getting_started/getting_started.md 8a7197a5e92c40a9ba160b43656983d2
-msgid "RTX 4090"
-msgstr "RTX 4090"
+#: ../../getting_started/getting_started.md:12 9dc0e76f46c64304aabb80fcf4a2a3f2
+msgid "Quickly provide private LLM Model deployment."
+msgstr "快速构建私有大模型部署"
 
-#: ../../getting_started/getting_started.md 69b2bfdec17e43fbb57f47e3e10a5f5a
-#: 81d0c2444bbb4a2fb834a628689e4b68
-msgid "24 GB"
-msgstr "24 GB"
+#: ../../getting_started/getting_started.md:14 ad5daeae9621455ba447735fd55648cc
+msgid "Usage with DB-GPT."
+msgstr "DB-GPT使用姿势."
 
-#: ../../getting_started/getting_started.md 49b65b0eaffb41d78a1227bcc3e836e0
-msgid "Smooth conversation inference"
-msgstr "可以流畅的进行对话推理，无卡顿"
+#: ../../getting_started/getting_started.md:15 870d82fd402444aab3028764607ff468
+msgid ""
+"Follow DB-GPT application [install tutorial](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html)."
+msgstr ""
+"先安装部署应用[安装教程](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html)."
 
-#: ../../getting_started/getting_started.md 527def44c8b24e4bbe589d110bd43e91
-msgid "RTX 3090"
-msgstr "RTX 3090"
-
-#: ../../getting_started/getting_started.md ad9666e0521c4ef0ad19c2e224daecda
-msgid "Smooth conversation inference, better than V100"
-msgstr "可以流畅进行对话推理，有卡顿感，但好于V100"
-
-#: ../../getting_started/getting_started.md c090521969f042398236f6d04b017295
-msgid "V100"
-msgstr "V100"
-
-#: ../../getting_started/getting_started.md 60605e0de3fc494cbb7199cef8f831ad
-msgid "16 GB"
-msgstr "16 GB"
-
-#: ../../getting_started/getting_started.md b82747aee44e444984565aab0faa2a64
-msgid "Conversation inference possible, noticeable stutter"
-msgstr "可以进行对话推理，有明显卡顿"
-
-#: ../../getting_started/getting_started.md:18 b9df8ec7b2c34233b28db81f3c90f8c7
-msgid "2. Install"
-msgstr "2. 安装"
-
-#: ../../getting_started/getting_started.md:20 bd0f0159a49b4493ab387e124fef15fa
+#: ../../getting_started/getting_started.md:16 c7806bcd1b9a43eda8a86402f9903dfe
 #, fuzzy
 msgid ""
-"We use [Chroma embedding database](https://github.com/chroma-core/chroma)"
-" as the default for our vector database and use SQLite as the default for"
-" our database, so there is no need for special installation. If you "
-"choose to connect to other databases, you can follow our tutorial for "
-"installation and configuration.  For the entire installation process of "
-"DB-GPT, we use the miniconda3 virtual environment. Create a virtual "
-"environment and install the Python dependencies."
+"Follow DB-GPT [application usage](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/application/chatdb/chatdb.html)."
 msgstr ""
-"向量数据库我们默认使用的是Chroma内存数据库，所以无需特殊安装，如果有需要连接其他的同学，可以按照我们的教程进行安装配置。整个DB-"
-"GPT的安装过程，我们使用的是miniconda3的虚拟环境。创建虚拟环境，并安装python依赖包"
+"先安装部署应用[安装教程](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html)."
 
-#: ../../getting_started/getting_started.md:29 bc8f2ee7894b4cad858d5e2cfbee10a9
-msgid "Before use DB-GPT Knowledge Management"
-msgstr "使用知识库管理功能之前"
-
-#: ../../getting_started/getting_started.md:34 03e1652f724946ec8d01a97811883b5f
+#: ../../getting_started/getting_started.md:18 5dd30b81ed39476f871ed31edd01c043
 msgid ""
-"Once the environment is installed, we have to create a new folder "
-"\"models\" in the DB-GPT project, and then we can put all the models "
-"downloaded from huggingface in this directory"
+"If you encounter any issues while using DB-GPT (whether it's during "
+"installation or usage), you can refer to the [FAQ](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/faq/deploy/deploy_faq.html) "
+"section for assistance."
 msgstr ""
-"环境安装完成后，我们必须在DB-"
-"GPT项目中创建一个新文件夹\"models\"，然后我们可以把从huggingface下载的所有模型放到这个目录下。"
+"如果你在使用DB-GPT过程中遇到什么问题(无论是安装还是使用)，可以查看[FAQ](https://db-"
+"gpt.readthedocs.io/en/latest/getting_started/faq/deploy/deploy_faq.html)\""
 
-#: ../../getting_started/getting_started.md:37 e26a827f1d5b4d2cbf92b42bce461082
-#, fuzzy
-msgid "Notice make sure you have install git-lfs"
-msgstr "确保你已经安装了git-lfs"
+#: ../../getting_started/getting_started.md:21 c6202be38f3641098eedca1ef31665b3
+msgid "🗺️ 生态"
+msgstr "🗺️ 生态"
 
-#: ../../getting_started/getting_started.md:48 af91349fe332472ca7a2e592a0c582f7
+#: ../../getting_started/getting_started.md:23 d55c843f8a044e099e61a86ef5a70eaf
+msgid "Github: https://github.com/eosphoros-ai/DB-GPT"
+msgstr "Github: https://github.com/eosphoros-ai/DB-GPT"
+
+#: ../../getting_started/getting_started.md:24 7e279ce6cce346ecb3e58537f2d8ca24
+msgid "PyPi:"
+msgstr "PyPi:"
+
+#: ../../getting_started/getting_started.md:25 ca92a6bc95c94996b4e672be7ee43f1b
+msgid "DB-GPT: https://pypi.org/simple/db-gpt."
+msgstr "DB-GPT: https://pypi.org/simple/db-gpt."
+
+#: ../../getting_started/getting_started.md:27 cc44973d1a78434fa3dfe511618b08d9
+msgid "Associated projects"
+msgstr "关联的项目"
+
+#: ../../getting_started/getting_started.md:30 93b80349645943b38d16afd80ee076da
 msgid ""
-"The model files are large and will take a long time to download. During "
-"the download, let's configure the .env file, which needs to be copied and"
-" created from the .env.template"
-msgstr "模型文件很大，需要很长时间才能下载。在下载过程中，让我们配置.env文件，它需要从。env.template中复制和创建。"
+"🧪 DB-GPT-Hub: https://github.com/eosphoros-ai/DB-GPT-Hub | an "
+"experimental project to implement Text-to-SQL parsing using LLMs"
+msgstr "🧪 DB-GPT-Hub: https://github.com/eosphoros-ai/DB-GPT-Hub | 基于开源大模型的Text-to-SQL实验性项目"
 
-#: ../../getting_started/getting_started.md:51 84d2d93130034c2f94f4d0bebcc2b0d2
-msgid "cp .env.template .env"
-msgstr "cp .env.template .env"
-
-#: ../../getting_started/getting_started.md:54 b3adfec002354f00baba9c43a1a3e381
+#: ../../getting_started/getting_started.md:31 2c061d9eee624a4b994bb6af3361591b
 msgid ""
-"You can configure basic parameters in the .env file, for example setting "
-"LLM_MODEL to the model to be used"
-msgstr "您可以在.env文件中配置基本参数，例如将LLM_MODEL设置为要使用的模型。"
+"🏡 DB-GPT-Web: https://github.com/eosphoros-ai/DB-GPT-Web | Web "
+"application for DB-GPT."
+msgstr "🏡 DB-GPT-Web: https://github.com/eosphoros-ai/DB-GPT-Web | Web "
+"应用 for DB-GPT."
 
-#: ../../getting_started/getting_started.md:56 1b11268133c0440cb3c26981f5d0c1fe
+#: ../../getting_started/getting_started.md:32 6564f208ecd04a3fae6dd5f12cfbad12
 msgid ""
-"([Vicuna-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) based on "
-"llama-2 has been released, we recommend you set `LLM_MODEL=vicuna-"
-"13b-v1.5` to try this model)"
-msgstr ""
-
-#: ../../getting_started/getting_started.md:58 511d47f08bab42e0bd3f34df58c5a822
-msgid "3. Run"
-msgstr "3. 运行"
-
-#: ../../getting_started/getting_started.md:59 eba1922d852b4d548370884987237c09
-msgid ""
-"You can refer to this document to obtain the Vicuna weights: "
-"[Vicuna](https://github.com/lm-sys/FastChat/blob/main/README.md#model-"
-"weights) ."
-msgstr ""
-"关于基础模型, 可以根据[Vicuna](https://github.com/lm-"
-"sys/FastChat/blob/main/README.md#model-weights) 合成教程进行合成。"
-
-#: ../../getting_started/getting_started.md:61 bb51e0506f4e44c3a4daf1d0fbd5a4ef
-msgid ""
-"If you have difficulty with this step, you can also directly use the "
-"model from [this link](https://huggingface.co/Tribbiani/vicuna-7b) as a "
-"replacement."
-msgstr ""
-"如果此步有困难的同学，也可以直接使用[此链接](https://huggingface.co/Tribbiani/vicuna-"
-"7b)上的模型进行替代。"
-
-#: ../../getting_started/getting_started.md:63 0d532891bd754e78a6390fcc97d0f59d
-msgid ""
-"set .env configuration set your vector store type, "
-"eg:VECTOR_STORE_TYPE=Chroma, now we support Chroma and Milvus(version > "
-"2.1)"
-msgstr ""
-"在.env文件设置向量数据库环境变量，eg:VECTOR_STORE_TYPE=Chroma, 目前我们支持了 Chroma and "
-"Milvus(version >2.1) "
-
-#: ../../getting_started/getting_started.md:66 8beb3199650e4d2b8f567d0de20e2cb6
-#, fuzzy
-msgid "1.Run db-gpt server"
-msgstr "运行模型服务"
-
-#: ../../getting_started/getting_started.md:71
-#: ../../getting_started/getting_started.md:131
-#: ../../getting_started/getting_started.md:200
-#: 41984cf5289f4cefbead6b84fb011e92 5c3eb807af36425a8b0620705fc9c4e9
-#: 7c420ffa305d4eb1a052b25101e80011
-#, fuzzy
-msgid "Open http://localhost:5000 with your browser to see the product."
-msgstr "打开浏览器访问http://localhost:5000"
-
-#: ../../getting_started/getting_started.md:73 802ca13fbe0542a19258d40c08da509e
-msgid ""
-"If you want to access an external LLM service, you need to 1.set the "
-"variables LLM_MODEL=YOUR_MODEL_NAME "
-"MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env "
-"file. 2.execute dbgpt_server.py in light mode"
-msgstr "如果你想访问外部的大模型服务，1.需要在.env文件设置模型名和外部模型服务地址。2.使用light模式启动服务"
-
-#: ../../getting_started/getting_started.md:76 7808d30d1642422fbed42f1929e37343
-#, fuzzy
-msgid ""
-"If you want to learn about dbgpt-webui, read https://github./csunny/DB-"
-"GPT/tree/new-page-framework/datacenter"
-msgstr ""
-"如果你想了解DB-GPT前端服务，访问https://github.com/csunny/DB-GPT/tree/new-page-"
-"framework/datacenter"
-
-#: ../../getting_started/getting_started.md:82 094ed036720c406c904c8a9ca6e7b8ae
-msgid "4. Docker (Experimental)"
-msgstr "4. Docker (Experimental)"
-
-#: ../../getting_started/getting_started.md:84 9428d68d1eef42c28bf33d9bd7022c85
-msgid "4.1 Building Docker image"
-msgstr "4.1 Building Docker image"
-
-#: ../../getting_started/getting_started.md:90 16bfb175a85c455e847c3cafe2d94ce1
-msgid "Review images by listing them:"
-msgstr "Review images by listing them:"
-
-#: ../../getting_started/getting_started.md:96
-#: ../../getting_started/getting_started.md:186
-#: 46438a8f73f344ca84f5c77c8fe7434b eaca8cbd8bdd4c03863ef5ea218218b1
-msgid "Output should look something like the following:"
-msgstr "Output should look something like the following:"
-
-#: ../../getting_started/getting_started.md:103
-#: 47d72ad65ce0455ca0d85580eb0db619
-msgid ""
-"`eosphorosai/dbgpt` is the base image, which contains the project's base "
-"dependencies and a sqlite database. `eosphorosai/dbgpt-allinone` build "
-"from `eosphorosai/dbgpt`, which contains a mysql database."
-msgstr ""
-
-#: ../../getting_started/getting_started.md:105
-#: 980f39c088564de288cab120a4004d53
-msgid "You can pass some parameters to docker/build_all_images.sh."
-msgstr "You can pass some parameters to docker/build_all_images.sh."
-
-#: ../../getting_started/getting_started.md:113
-#: fad33767622f4b639881c4124bdc92cc
-msgid ""
-"You can execute the command `bash docker/build_all_images.sh --help` to "
-"see more usage."
-msgstr ""
-"You can execute the command `bash docker/build_all_images.sh --help` to "
-"see more usage."
-
-#: ../../getting_started/getting_started.md:115
-#: 878bb7ecfbe74a96bf42adef951bec44
-msgid "4.2. Run all in one docker container"
-msgstr "4.2. Run all in one docker container"
-
-#: ../../getting_started/getting_started.md:117
-#: 2e8279c88e814e8db5dc16d4b05c62e1
-#, fuzzy
-msgid "**Run with local model and SQLite database**"
-msgstr "**Run with local model**"
-
-#: ../../getting_started/getting_started.md:134
-#: fb87d01dc56c48ac937b537dcc29627c
-msgid ""
-"`-e LLM_MODEL=vicuna-13b`, means we use vicuna-13b as llm model, see "
-"/pilot/configs/model_config.LLM_MODEL_CONFIG"
-msgstr ""
-"`-e LLM_MODEL=vicuna-13b`, means we use vicuna-13b as llm model, see "
-"/pilot/configs/model_config.LLM_MODEL_CONFIG"
-
-#: ../../getting_started/getting_started.md:135
-#: b2517db39b0b473ab4f302a925d86879
-msgid ""
-"`-v /data/models:/app/models`, means we mount the local model file "
-"directory `/data/models` to the docker container directory `/app/models`,"
-" please replace it with your model file directory."
-msgstr ""
-"`-v /data/models:/app/models`, means we mount the local model file "
-"directory `/data/models` to the docker container directory `/app/models`,"
-" please replace it with your model file directory."
-
-#: ../../getting_started/getting_started.md:137
-#: ../../getting_started/getting_started.md:194
-#: 140b925a0e5b4daeb6880fef503d6aac 67636495385943e3b81af74b5433c74b
-msgid "You can see log with command:"
-msgstr "You can see log with command:"
-
-#: ../../getting_started/getting_started.md:143
-#: 4ba6f304021746f6aa63fe196e752092
-#, fuzzy
-msgid "**Run with local model and MySQL database**"
-msgstr "**Run with local model**"
-
-#: ../../getting_started/getting_started.md:158
-#: 4f2fc76b150b4f248356418cf0183c83
-msgid "**Run with openai interface**"
-msgstr "**Run with openai interface**"
-
-#: ../../getting_started/getting_started.md:177
-#: ed6edd5016444324a98200f054c7d2a5
-msgid ""
-"`-e LLM_MODEL=proxyllm`, means we use proxy llm(openai interface, "
-"fastchat interface...)"
-msgstr ""
-"`-e LLM_MODEL=proxyllm`, means we use proxy llm(openai interface, "
-"fastchat interface...)"
-
-#: ../../getting_started/getting_started.md:178
-#: 7bc17c46292f43c488dcec172c835d49
-msgid ""
-"`-v /data/models/text2vec-large-chinese:/app/models/text2vec-large-"
-"chinese`, means we mount the local text2vec model to the docker "
-"container."
-msgstr ""
-"`-v /data/models/text2vec-large-chinese:/app/models/text2vec-large-"
-"chinese`, means we mount the local text2vec model to the docker "
-"container."
-
-#: ../../getting_started/getting_started.md:180
-#: 257860df855843eb85383478d2e8baca
-msgid "4.3. Run with docker compose"
-msgstr ""
-
-#: ../../getting_started/getting_started.md:202
-#: 143be856423e412c8605488c0e50d2dc
-msgid ""
-"You can open docker-compose.yml in the project root directory to see more"
-" details."
-msgstr ""
-"You can open docker-compose.yml in the project root directory to see more"
-" details."
-
-#: ../../getting_started/getting_started.md:205
-#: 0dd3dc0d7a7f4565a041ab5855808fd3
-msgid "5. Multiple GPUs"
-msgstr "5. Multiple GPUs"
-
-#: ../../getting_started/getting_started.md:207
-#: 65b1d32a91634c069a80269c44728727
-msgid ""
-"DB-GPT will use all available gpu by default. And you can modify the "
-"setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu"
-" IDs."
-msgstr ""
-"DB-GPT will use all available gpu by default. And you can modify the "
-"setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu"
-" IDs."
-
-#: ../../getting_started/getting_started.md:209
-#: 1ef71b0a976640319211a245943d99d5
-msgid ""
-"Optionally, you can also specify the gpu ID to use before the starting "
-"command, as shown below:"
-msgstr ""
-"Optionally, you can also specify the gpu ID to use before the starting "
-"command, as shown below:"
-
-#: ../../getting_started/getting_started.md:219
-#: efbc9ca4b8f44b219460577b691d2c0a
-msgid ""
-"You can modify the setting `MAX_GPU_MEMORY=xxGib` in `.env` file to "
-"configure the maximum memory used by each GPU."
-msgstr ""
-
-#: ../../getting_started/getting_started.md:221
-#: c80f5e6d2a6042ad9ac0ef320cc6d987
-msgid "6. Not Enough Memory"
-msgstr ""
-
-#: ../../getting_started/getting_started.md:223
-#: b8151a333f804489ad6a2b59e739a8ed
-msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
-msgstr ""
-
-#: ../../getting_started/getting_started.md:225
-#: be32dacd8bb84a19985417bd1b78db0f
-msgid ""
-"You can modify the setting `QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` "
-"in `.env` file to use quantization(8-bit quantization is enabled by "
-"default)."
-msgstr ""
-
-#: ../../getting_started/getting_started.md:227
-#: 247509e1392e4b4a8d8cdc59f2f94d37
-msgid ""
-"Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit"
-" quantization can run with 48 GB of VRAM."
-msgstr ""
-"Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit"
-" quantization can run with 48 GB of VRAM."
-
-#: ../../getting_started/getting_started.md:229
-#: 4e8def991b8a491c83c29214e5f80669
-msgid ""
-"Note: you need to install the latest dependencies according to "
-"[requirements.txt](https://github.com/eosphoros-ai/DB-"
-"GPT/blob/main/requirements.txt)."
-msgstr ""
-"Note: you need to install the latest dependencies according to "
-"[requirements.txt](https://github.com/eosphoros-ai/DB-"
-"GPT/blob/main/requirements.txt)."
-
-#: ../../getting_started/getting_started.md:232
-#: 85f7bb08aa714f5db6db00d905dd9dc8
-msgid ""
-"Here are some of the VRAM size usage of the models we tested in some "
-"common scenarios."
-msgstr ""
-"Here are some of the VRAM size usage of the models we tested in some "
-"common scenarios."
-
-#: ../../getting_started/getting_started.md:50 165d0902ed064bbaa8b0bbe84befe139
-msgid "Model"
-msgstr "Model"
-
-#: ../../getting_started/getting_started.md:50 d077bca9cada4a9b89037ef5ab494c26
-msgid "Quantize"
-msgstr "Quantize"
-
-#: ../../getting_started/getting_started.md:50 42723863614e42b1aa6c664bfd197474
-#: b71ce0c19de7471787cbbc09d6137a4b
-msgid "vicuna-7b-v1.5"
-msgstr "vicuna-7b-v1.5"
-
-#: ../../getting_started/getting_started.md:50 2654d358528a48e38bec445644ffd20a
-#: 2ad34cd14f54422491464967331d83fc 3b42a055e72847ec99d8d131fa9f5f84
-#: 6641e98d9bed44ee853fe7a11263a88b a69801bc92f143aa9e0818886ef6eade
-#: daa418b33705484ba944b0d92981a501 fc26bd1dace2432ca64b99ca16c2c80f
-msgid "4-bit"
-msgstr "4-bit"
-
-#: ../../getting_started/getting_started.md:50 1688f8a0972c4026abf69b5186d92137
-#: 683de09d524a4084bcdad1a184206f87 74586e40b480444591dc884e7f3f683f
-#, fuzzy
-msgid "8 GB"
-msgstr "24 GB"
-
-#: ../../getting_started/getting_started.md:50 13aa8cac7a784ad1a1b58b166be99711
-#: 32633a38c1f44aac92f9647ee7867cd1 3b7fea4236174e2bb33894fd8234eddb
-#: 3b8104af560e41f285d9c433e19f6cb7 5862f0c57e2c411dada47fe71f6a74bd
-#: 6425f53f197742c8b3153a79cf4a220a d1fa83af3a884714a72f7a0af5f3be23
-msgid "8-bit"
-msgstr "8-bit"
-
-#: ../../getting_started/getting_started.md:50 107ed4fb15c44cb5bb7020a8092f7341
-#: 1d1791894226418ea623abdecd3107ba 1fdc42ef874f4022be31df7696e6a5de
-#: 718c49ddac8e4086a75cdbba166dc3cb 99404c8333974ae7a1e68885f4471b32
-#: da59674e4418488583cf4865545ad752
-#, fuzzy
-msgid "12 GB"
-msgstr "24 GB"
-
-#: ../../getting_started/getting_started.md:50 79bf82a6dc9f4c22af779be4b1d2d13c
-#: b5bde8f01fc343baa567806fd53070dc
-msgid "vicuna-13b-v1.5"
-msgstr "vicuna-13b-v1.5"
-
-#: ../../getting_started/getting_started.md:50 362720115dd64143a214b3b9d3069512
-#: e0545557159b44dea0522a1848170216 e3c6ab8f25bc4adbae3b3087716a1efe
-#, fuzzy
-msgid "20 GB"
-msgstr "24 GB"
-
-#: ../../getting_started/getting_started.md:50 295fd7d6e6c846748a1f2c82f8c79ba0
-#: 55efa8e8e4e74efc865df87fcfade84d
-msgid "llama-2-7b"
-msgstr "llama-2-7b"
-
-#: ../../getting_started/getting_started.md:50 15b1e541bdac43fda1dcccf2aaeaa40f
-#: 5785954810bc45369ed1745f5c503c9c
-msgid "llama-2-13b"
-msgstr "llama-2-13b"
-
-#: ../../getting_started/getting_started.md:50 185892d421684c1b903c04ea9b6653d7
-#: d7970a5fe574434798d72427436c82d5
-msgid "llama-2-70b"
-msgstr "llama-2-70b"
-
-#: ../../getting_started/getting_started.md:50 f732a7f73a504bd1b56b42dab1114d04
-#, fuzzy
-msgid "48 GB"
-msgstr "24 GB"
-
-#: ../../getting_started/getting_started.md:50 04642b0dd4bc4563a45c6d15fa1d8f07
-#, fuzzy
-msgid "80 GB"
-msgstr "24 GB"
-
-#: ../../getting_started/getting_started.md:50 b9c4d8b71b1e4185bab24a857433f884
-#: fc1b1927cc344e2e91bb7047c79ad227
-msgid "baichuan-7b"
-msgstr ""
-
-#: ../../getting_started/getting_started.md:50 c92417b527a04d82ac9caa837884113c
-#: dc17ae982c154b988433a0c623301bcb
-msgid "baichuan-13b"
-msgstr "baichuan-13b"
+"🚀 DB-GPT-Plugins: https://github.com/eosphoros-ai/DB-GPT-Web | DB-GPT "
+"Plugins Repo, Which support AutoGPT plugin."
+msgstr "🚀 DB-GPT-Plugins: https://github.com/eosphoros-ai/DB-GPT-Web | DB-GPT "
+"Plugins Repo, Which support AutoGPT plugin."
 
 #~ msgid "4.2. Run with docker compose"
 #~ msgstr "4.2. Run with docker compose"
@@ -519,3 +144,411 @@ msgstr "baichuan-13b"
 #~ msgid "prepare server sql script"
 #~ msgstr "准备db-gpt server sql脚本"
 
+#~ msgid ""
+#~ "This tutorial gives you a quick "
+#~ "walkthrough about use DB-GPT with "
+#~ "you environment and data."
+#~ msgstr "本教程为您提供了关于如何使用DB-GPT的使用指南。"
+
+#~ msgid "Installation"
+#~ msgstr "安装"
+
+#~ msgid "To get started, install DB-GPT with the following steps."
+#~ msgstr "请按照以下步骤安装DB-GPT"
+
+#~ msgid "1. Hardware Requirements"
+#~ msgstr "1. 硬件要求"
+
+#~ msgid ""
+#~ "As our project has the ability to"
+#~ " achieve ChatGPT performance of over "
+#~ "85%, there are certain hardware "
+#~ "requirements. However, overall, the project"
+#~ " can be deployed and used on "
+#~ "consumer-grade graphics cards. The specific"
+#~ " hardware requirements for deployment are"
+#~ " as follows:"
+#~ msgstr "由于我们的项目有能力达到85%以上的ChatGPT性能，所以对硬件有一定的要求。但总体来说，我们在消费级的显卡上即可完成项目的部署使用，具体部署的硬件说明如下:"
+
+#~ msgid "GPU"
+#~ msgstr "GPU"
+
+#~ msgid "VRAM Size"
+#~ msgstr "显存大小"
+
+#~ msgid "Performance"
+#~ msgstr "显存大小"
+
+#~ msgid "RTX 4090"
+#~ msgstr "RTX 4090"
+
+#~ msgid "24 GB"
+#~ msgstr "24 GB"
+
+#~ msgid "Smooth conversation inference"
+#~ msgstr "可以流畅的进行对话推理，无卡顿"
+
+#~ msgid "RTX 3090"
+#~ msgstr "RTX 3090"
+
+#~ msgid "Smooth conversation inference, better than V100"
+#~ msgstr "可以流畅进行对话推理，有卡顿感，但好于V100"
+
+#~ msgid "V100"
+#~ msgstr "V100"
+
+#~ msgid "16 GB"
+#~ msgstr "16 GB"
+
+#~ msgid "Conversation inference possible, noticeable stutter"
+#~ msgstr "可以进行对话推理，有明显卡顿"
+
+#~ msgid "2. Install"
+#~ msgstr "2. 安装"
+
+#~ msgid ""
+#~ "We use [Chroma embedding "
+#~ "database](https://github.com/chroma-core/chroma) as "
+#~ "the default for our vector database "
+#~ "and use SQLite as the default for"
+#~ " our database, so there is no "
+#~ "need for special installation. If you"
+#~ " choose to connect to other "
+#~ "databases, you can follow our tutorial"
+#~ " for installation and configuration.  For"
+#~ " the entire installation process of "
+#~ "DB-GPT, we use the miniconda3 virtual"
+#~ " environment. Create a virtual environment"
+#~ " and install the Python dependencies."
+#~ msgstr ""
+#~ "向量数据库我们默认使用的是Chroma内存数据库，所以无需特殊安装，如果有需要连接其他的同学，可以按照我们的教程进行安装配置"
+#~ "。整个DB-GPT的安装过程，我们使用的是miniconda3的虚拟环境。创建虚拟环境，并安装python依赖包"
+
+#~ msgid "Before use DB-GPT Knowledge Management"
+#~ msgstr "使用知识库管理功能之前"
+
+#~ msgid ""
+#~ "Once the environment is installed, we"
+#~ " have to create a new folder "
+#~ "\"models\" in the DB-GPT project, "
+#~ "and then we can put all the "
+#~ "models downloaded from huggingface in "
+#~ "this directory"
+#~ msgstr ""
+#~ "环境安装完成后，我们必须在DB-"
+#~ "GPT项目中创建一个新文件夹\"models\"，然后我们可以把从huggingface下载的所有模型放到这个目录下。"
+
+#~ msgid "Notice make sure you have install git-lfs"
+#~ msgstr "确保你已经安装了git-lfs"
+
+#~ msgid ""
+#~ "The model files are large and will"
+#~ " take a long time to download. "
+#~ "During the download, let's configure the"
+#~ " .env file, which needs to be "
+#~ "copied and created from the "
+#~ ".env.template"
+#~ msgstr "模型文件很大，需要很长时间才能下载。在下载过程中，让我们配置.env文件，它需要从。env.template中复制和创建。"
+
+#~ msgid "cp .env.template .env"
+#~ msgstr "cp .env.template .env"
+
+#~ msgid ""
+#~ "You can configure basic parameters in"
+#~ " the .env file, for example setting"
+#~ " LLM_MODEL to the model to be "
+#~ "used"
+#~ msgstr "您可以在.env文件中配置基本参数，例如将LLM_MODEL设置为要使用的模型。"
+
+#~ msgid ""
+#~ "([Vicuna-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) "
+#~ "based on llama-2 has been released, "
+#~ "we recommend you set `LLM_MODEL=vicuna-"
+#~ "13b-v1.5` to try this model)"
+#~ msgstr ""
+
+#~ msgid "3. Run"
+#~ msgstr "3. 运行"
+
+#~ msgid ""
+#~ "You can refer to this document to"
+#~ " obtain the Vicuna weights: "
+#~ "[Vicuna](https://github.com/lm-sys/FastChat/blob/main/README.md"
+#~ "#model-weights) ."
+#~ msgstr ""
+#~ "关于基础模型, 可以根据[Vicuna](https://github.com/lm-"
+#~ "sys/FastChat/blob/main/README.md#model-weights) 合成教程进行合成。"
+
+#~ msgid ""
+#~ "If you have difficulty with this "
+#~ "step, you can also directly use "
+#~ "the model from [this "
+#~ "link](https://huggingface.co/Tribbiani/vicuna-7b) as "
+#~ "a replacement."
+#~ msgstr ""
+#~ "如果此步有困难的同学，也可以直接使用[此链接](https://huggingface.co/Tribbiani/vicuna-"
+#~ "7b)上的模型进行替代。"
+
+#~ msgid ""
+#~ "set .env configuration set your vector"
+#~ " store type, eg:VECTOR_STORE_TYPE=Chroma, now "
+#~ "we support Chroma and Milvus(version >"
+#~ " 2.1)"
+#~ msgstr ""
+#~ "在.env文件设置向量数据库环境变量，eg:VECTOR_STORE_TYPE=Chroma, 目前我们支持了 "
+#~ "Chroma and Milvus(version >2.1) "
+
+#~ msgid "1.Run db-gpt server"
+#~ msgstr "运行模型服务"
+
+#~ msgid "Open http://localhost:5000 with your browser to see the product."
+#~ msgstr "打开浏览器访问http://localhost:5000"
+
+#~ msgid ""
+#~ "If you want to access an external"
+#~ " LLM service, you need to 1.set "
+#~ "the variables LLM_MODEL=YOUR_MODEL_NAME "
+#~ "MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in "
+#~ "the .env file. 2.execute dbgpt_server.py "
+#~ "in light mode"
+#~ msgstr "如果你想访问外部的大模型服务，1.需要在.env文件设置模型名和外部模型服务地址。2.使用light模式启动服务"
+
+#~ msgid ""
+#~ "If you want to learn about "
+#~ "dbgpt-webui, read https://github./csunny/DB-"
+#~ "GPT/tree/new-page-framework/datacenter"
+#~ msgstr ""
+#~ "如果你想了解DB-GPT前端服务，访问https://github.com/csunny/DB-GPT/tree"
+#~ "/new-page-framework/datacenter"
+
+#~ msgid "4. Docker (Experimental)"
+#~ msgstr "4. Docker (Experimental)"
+
+#~ msgid "4.1 Building Docker image"
+#~ msgstr "4.1 Building Docker image"
+
+#~ msgid "Review images by listing them:"
+#~ msgstr "Review images by listing them:"
+
+#~ msgid "Output should look something like the following:"
+#~ msgstr "Output should look something like the following:"
+
+#~ msgid ""
+#~ "`eosphorosai/dbgpt` is the base image, "
+#~ "which contains the project's base "
+#~ "dependencies and a sqlite database. "
+#~ "`eosphorosai/dbgpt-allinone` build from "
+#~ "`eosphorosai/dbgpt`, which contains a mysql"
+#~ " database."
+#~ msgstr ""
+
+#~ msgid "You can pass some parameters to docker/build_all_images.sh."
+#~ msgstr "You can pass some parameters to docker/build_all_images.sh."
+
+#~ msgid ""
+#~ "You can execute the command `bash "
+#~ "docker/build_all_images.sh --help` to see more"
+#~ " usage."
+#~ msgstr ""
+#~ "You can execute the command `bash "
+#~ "docker/build_all_images.sh --help` to see more"
+#~ " usage."
+
+#~ msgid "4.2. Run all in one docker container"
+#~ msgstr "4.2. Run all in one docker container"
+
+#~ msgid "**Run with local model and SQLite database**"
+#~ msgstr "**Run with local model**"
+
+#~ msgid ""
+#~ "`-e LLM_MODEL=vicuna-13b`, means we use"
+#~ " vicuna-13b as llm model, see "
+#~ "/pilot/configs/model_config.LLM_MODEL_CONFIG"
+#~ msgstr ""
+#~ "`-e LLM_MODEL=vicuna-13b`, means we use"
+#~ " vicuna-13b as llm model, see "
+#~ "/pilot/configs/model_config.LLM_MODEL_CONFIG"
+
+#~ msgid ""
+#~ "`-v /data/models:/app/models`, means we mount"
+#~ " the local model file directory "
+#~ "`/data/models` to the docker container "
+#~ "directory `/app/models`, please replace it "
+#~ "with your model file directory."
+#~ msgstr ""
+#~ "`-v /data/models:/app/models`, means we mount"
+#~ " the local model file directory "
+#~ "`/data/models` to the docker container "
+#~ "directory `/app/models`, please replace it "
+#~ "with your model file directory."
+
+#~ msgid "You can see log with command:"
+#~ msgstr "You can see log with command:"
+
+#~ msgid "**Run with local model and MySQL database**"
+#~ msgstr "**Run with local model**"
+
+#~ msgid "**Run with openai interface**"
+#~ msgstr "**Run with openai interface**"
+
+#~ msgid ""
+#~ "`-e LLM_MODEL=proxyllm`, means we use "
+#~ "proxy llm(openai interface, fastchat "
+#~ "interface...)"
+#~ msgstr ""
+#~ "`-e LLM_MODEL=proxyllm`, means we use "
+#~ "proxy llm(openai interface, fastchat "
+#~ "interface...)"
+
+#~ msgid ""
+#~ "`-v /data/models/text2vec-large-chinese:/app/models"
+#~ "/text2vec-large-chinese`, means we mount"
+#~ " the local text2vec model to the "
+#~ "docker container."
+#~ msgstr ""
+#~ "`-v /data/models/text2vec-large-chinese:/app/models"
+#~ "/text2vec-large-chinese`, means we mount"
+#~ " the local text2vec model to the "
+#~ "docker container."
+
+#~ msgid "4.3. Run with docker compose"
+#~ msgstr ""
+
+#~ msgid ""
+#~ "You can open docker-compose.yml in "
+#~ "the project root directory to see "
+#~ "more details."
+#~ msgstr ""
+#~ "You can open docker-compose.yml in "
+#~ "the project root directory to see "
+#~ "more details."
+
+#~ msgid "5. Multiple GPUs"
+#~ msgstr "5. Multiple GPUs"
+
+#~ msgid ""
+#~ "DB-GPT will use all available gpu"
+#~ " by default. And you can modify "
+#~ "the setting `CUDA_VISIBLE_DEVICES=0,1` in "
+#~ "`.env` file to use the specific "
+#~ "gpu IDs."
+#~ msgstr ""
+#~ "DB-GPT will use all available gpu"
+#~ " by default. And you can modify "
+#~ "the setting `CUDA_VISIBLE_DEVICES=0,1` in "
+#~ "`.env` file to use the specific "
+#~ "gpu IDs."
+
+#~ msgid ""
+#~ "Optionally, you can also specify the "
+#~ "gpu ID to use before the starting"
+#~ " command, as shown below:"
+#~ msgstr ""
+#~ "Optionally, you can also specify the "
+#~ "gpu ID to use before the starting"
+#~ " command, as shown below:"
+
+#~ msgid ""
+#~ "You can modify the setting "
+#~ "`MAX_GPU_MEMORY=xxGib` in `.env` file to "
+#~ "configure the maximum memory used by "
+#~ "each GPU."
+#~ msgstr ""
+
+#~ msgid "6. Not Enough Memory"
+#~ msgstr ""
+
+#~ msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
+#~ msgstr ""
+
+#~ msgid ""
+#~ "You can modify the setting "
+#~ "`QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` in "
+#~ "`.env` file to use quantization(8-bit "
+#~ "quantization is enabled by default)."
+#~ msgstr ""
+
+#~ msgid ""
+#~ "Llama-2-70b with 8-bit quantization can "
+#~ "run with 80 GB of VRAM, and "
+#~ "4-bit quantization can run with 48 "
+#~ "GB of VRAM."
+#~ msgstr ""
+#~ "Llama-2-70b with 8-bit quantization can "
+#~ "run with 80 GB of VRAM, and "
+#~ "4-bit quantization can run with 48 "
+#~ "GB of VRAM."
+
+#~ msgid ""
+#~ "Note: you need to install the "
+#~ "latest dependencies according to "
+#~ "[requirements.txt](https://github.com/eosphoros-ai/DB-"
+#~ "GPT/blob/main/requirements.txt)."
+#~ msgstr ""
+#~ "Note: you need to install the "
+#~ "latest dependencies according to "
+#~ "[requirements.txt](https://github.com/eosphoros-ai/DB-"
+#~ "GPT/blob/main/requirements.txt)."
+
+#~ msgid ""
+#~ "Here are some of the VRAM size "
+#~ "usage of the models we tested in"
+#~ " some common scenarios."
+#~ msgstr ""
+#~ "Here are some of the VRAM size "
+#~ "usage of the models we tested in"
+#~ " some common scenarios."
+
+#~ msgid "Model"
+#~ msgstr "Model"
+
+#~ msgid "Quantize"
+#~ msgstr "Quantize"
+
+#~ msgid "vicuna-7b-v1.5"
+#~ msgstr "vicuna-7b-v1.5"
+
+#~ msgid "4-bit"
+#~ msgstr "4-bit"
+
+#~ msgid "8 GB"
+#~ msgstr "24 GB"
+
+#~ msgid "8-bit"
+#~ msgstr "8-bit"
+
+#~ msgid "12 GB"
+#~ msgstr "24 GB"
+
+#~ msgid "vicuna-13b-v1.5"
+#~ msgstr "vicuna-13b-v1.5"
+
+#~ msgid "20 GB"
+#~ msgstr "24 GB"
+
+#~ msgid "llama-2-7b"
+#~ msgstr "llama-2-7b"
+
+#~ msgid "llama-2-13b"
+#~ msgstr "llama-2-13b"
+
+#~ msgid "llama-2-70b"
+#~ msgstr "llama-2-70b"
+
+#~ msgid "48 GB"
+#~ msgstr "24 GB"
+
+#~ msgid "80 GB"
+#~ msgstr "24 GB"
+
+#~ msgid "baichuan-7b"
+#~ msgstr ""
+
+#~ msgid "baichuan-13b"
+#~ msgstr "baichuan-13b"
+
+#~ msgid ""
+#~ "[应用使用教程](https://db-"
+#~ "gpt.readthedocs.io/en/latest/getting_started/application/chatdb/chatdb.html)."
+#~ msgstr ""
+
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
index 44440d3f1..e2d481841 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/deploy/deploy.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-17 21:23+0800\n"
+"POT-Creation-Date: 2023-08-21 16:59+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,34 +20,34 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/install/deploy/deploy.md:1
-#: de0b03c3b94a4e2aad7d380f532b85c0
+#: 14020ee624b545a5a034b7e357f42545
 msgid "Installation From Source"
 msgstr "源码安装"
 
 #: ../../getting_started/install/deploy/deploy.md:3
-#: 65a034e1a90f40bab24899be901cc97f
+#: eeafb53bf0e846518457084d84edece7
 msgid ""
 "This tutorial gives you a quick walkthrough about use DB-GPT with you "
 "environment and data."
 msgstr "本教程为您提供了关于如何使用DB-GPT的使用指南。"
 
 #: ../../getting_started/install/deploy/deploy.md:5
-#: 33b15956f7ef446a9aa4cac014163884
+#: 1d6ee2f0f1ae43e9904da4c710b13e28
 msgid "Installation"
 msgstr "安装"
 
 #: ../../getting_started/install/deploy/deploy.md:7
-#: ad64dc334e8e43bebc8873afb27f7b15
+#: 6ebdb4ae390e4077af2388c48a73430d
 msgid "To get started, install DB-GPT with the following steps."
 msgstr "请按照以下步骤安装DB-GPT"
 
 #: ../../getting_started/install/deploy/deploy.md:9
-#: 33e12a5bef6c45dbb30fbffae556b664
+#: 910cfe79d1064bd191d56957b76d37fa
 msgid "1. Hardware Requirements"
 msgstr "1. 硬件要求"
 
 #: ../../getting_started/install/deploy/deploy.md:10
-#: dfd3b7c074124de78169f34168b7c757
+#: 6207b8e32b7c4b669c8874ff9267627e
 msgid ""
 "As our project has the ability to achieve ChatGPT performance of over "
 "85%, there are certain hardware requirements. However, overall, the "
@@ -56,176 +56,176 @@ msgid ""
 msgstr "由于我们的项目有能力达到85%以上的ChatGPT性能，所以对硬件有一定的要求。但总体来说，我们在消费级的显卡上即可完成项目的部署使用，具体部署的硬件说明如下:"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 3d4530d981bf4dbab815a11c74bfd897
+#: 45babe2e028746559e437880fdbcd5d3
 msgid "GPU"
 msgstr "GPU"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 348c8f9b734244258416ea2e11b76caa f2f5e55b8c9b4c7da0ac090e763a9f47
+#: 7adbc2bb5e384d419b53badfaf36b962 9307790f5c464f58a54c94659451a037
 msgid "VRAM Size"
 msgstr "显存"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 9e099897409f42339bc284c378318a72
+#: 305fdfdbd4674648a059b65736be191c
 msgid "Performance"
 msgstr "Performance"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 65bd67a198a84a5399f4799b505e062c
+#: 0e719a22b08844d9be04b4bcaeb4ad87
 msgid "RTX 4090"
 msgstr "RTX 4090"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 75e7f58f8f5d42f081a3e4d2e51ccc18 d897e949b37344d084f6917b977bcceb
+#: 482dd0da73f3495198ee1c9c8fb7e8ed ed30edd1a6944d6c8cb6a06c9c12d4db
 msgid "24 GB"
 msgstr "24 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 9cba72a2be3c41bda797ff447b63e448
+#: b9a9b3179d844b97a578193eacfec8cc
 msgid "Smooth conversation inference"
 msgstr "Smooth conversation inference"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 90ea71d2099c47acac027773e69d2b23
+#: 171da7c9f0744b5aa335a5411f126eb7
 msgid "RTX 3090"
 msgstr "RTX 3090"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 7dd339251a1a45be9a45e0bb30bd09f7
+#: fbb497f41e61437ba089008c573b0cc7
 msgid "Smooth conversation inference, better than V100"
 msgstr "Smooth conversation inference, better than V100"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 8abe188052464e6aa395392db834c842
+#: 2cb4fba16b664e1e9c22a1076f837a80
 msgid "V100"
 msgstr "V100"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 0b5263806a19446991cbd59c0fec6ba7 d645833d7e854eab81102374bf3fb7d8
+#: 05cccda43ffb41d7b73c2d5dfbc7f1c5 8c471150ab0746d8998ddca30ad86404
 msgid "16 GB"
 msgstr "16 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 83bb5f40fa7f4e9389ac6abdb6bbb285 f9e58862a0cb488194d7ad536f359f0d
+#: 335fa32f77a349abb9a813a3a9dd6974 8546d09080b0421597540e92ab485254
 msgid "Conversation inference possible, noticeable stutter"
 msgstr "Conversation inference possible, noticeable stutter"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 281f7b3c9a9f450798e5cc7612ea3890
+#: dd7a18f4bc144413b90863598c5e9a83
 msgid "T4"
 msgstr "T4"
 
 #: ../../getting_started/install/deploy/deploy.md:19
-#: 7276d432615040b3a9eea3f2c5764319
+#: 932dc4db2fba4272b72c31eb7d319255
 msgid ""
 "if your VRAM Size is not enough, DB-GPT supported 8-bit quantization and "
 "4-bit quantization."
 msgstr "如果你的显存不够，DB-GPT支持8-bit和4-bit量化版本"
 
 #: ../../getting_started/install/deploy/deploy.md:21
-#: f68d085e03d244ed9b5ccec347466889
+#: 7dd6fabaf1ea43718f26e8b83a7299e3
 msgid ""
 "Here are some of the VRAM size usage of the models we tested in some "
 "common scenarios."
 msgstr "这里是量化版本的相关说明"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 8d397d7ee603448b97153192e6d3e372
+#: b50ded065d4943e3a5bfdfdf3a723f82
 msgid "Model"
 msgstr "Model"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 4c789597627447278e89462690563faa
+#: 30621cf2407f4beca262eb47023d0b84
 msgid "Quantize"
 msgstr "Quantize"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: a8d7c76224544ce69f376ac7cb2f5a3b dbf2beb53d7e491393b00848d63d7ffa
+#: 492112b927ce46308c50917beaa9e23a 8450f0b95a05475d9136906ec64d43b2
 msgid "vicuna-7b-v1.5"
 msgstr "vicuna-7b-v1.5"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 1bd5afee2af84597b5a423308e92362c 46d030b6ff1849ebb22b590e6978d914
-#: 4cf8f3ebb0b743ffb2f1c123a25b75d0 6d96be424e6043daa2c02649894aa796
-#: 83bb935f520c4c818bfe37e13034b2a7 92ba161085374917b7f82810b1a2bf00
-#: ca5ccc49ba1046d2b4b13aaa7ceb62f5
+#: 1379c29cb10340848ce3e9bf9ec67348 39221fd99f0a41d29141fb73e1c9217d
+#: 3fd499ced4884e2aa6633784432f085c 6e872d37f2ab4571961465972092f439
+#: 917c7d492a4943f5963a210f9c997cb7 fb204224fb484019b344315d03f50571
+#: ff9f5aea13d04176912ebf141cc15d44
 msgid "4-bit"
 msgstr "4-bit"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 1173b5ee04cb4686ba34a527bc618bdb 558136997f4d49998f2f4e6a9bb656b0
-#: 8d203a9a70684cbaa9d937af8450847f
+#: 13976c780bc3451fae4ad398b39f5245 32fe2b6c2f1e40c8928c8537f9239d07
+#: 74f4ff229a314abf97c8fa4d6d73c339
 msgid "8 GB"
 msgstr "8 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 033458b772e3493b80041122e067e194 0f3eda083eac4739b2cf7d21337b145e
-#: 6404eaa486cf45a69a27b0f87a7f6302 8e850aa3acf14ab2b231be74ddb34e86
-#: ba258645f41f47a693aacbbc0f38e981 df67cac599234c4ba667a9b40eb6d9bc
-#: fc07aeb321434722a320fed0afe3ffb8
+#: 14ca9edebe794c7692738e5d14a15c06 453394769a20437da7a7a758c35345af
+#: 860b51d1ab6742c5bdefc6e1ffc923a3 988110ac5e7f418d8a46ea9c42238ecc
+#: d446bc441f8946d9a95a2a965157478e d683ae90e3da473f876cb948dd5dce5e
+#: f1e2f6fb36624185ab2876bdc87301ec
 msgid "8-bit"
 msgstr "8-bit"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 3ed2cb5787c14f268c446b03d5531233 68e7f0b0e8ad44ee86a86189bb3b553d
-#: 8b4ea703d1df45c5be90d83c4723f16f cb606e0a458746fd86307c1e8aea08f1
-#: d5da58dbde3c4bb4ac8b464a0a507c62 e8e140c610ec4971afe1b7ec2690382a
+#: 1b6230690780434184bab3a68d501b60 734f124ce767437097d9cb3584796df5
+#: 7da1c33a6d4746eba7f976cc43e6ad59 c0e7bd4672014afe88be1e11b8e772da
+#: d045ee257f8a40e8bdad0e2b91c64018 e231e0b6f7ee4f5b85d28a18bbc32175
 msgid "12 GB"
 msgstr "12 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 512cd29c308c4d3ab66dbe63e7ea8f48 78f8307ab96c4245a1f09abcd714034c
+#: 2ee16dd760e74439bbbec13186f9e44e 65628a09b7bf487eb4b4f0268eab2751
 msgid "vicuna-13b-v1.5"
 msgstr "vicuna-13b-v1.5"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 48849903b3cb4888b6dd3d5efcbb24fb 83178c05f6cf431f82bb1d6d25b2645e
-#: 979e3ab64df14753b0987bdd49bd5cc6
+#: 3d633ad2c90547d1b47a06aafe4aa177 4a9e81e6303748ada67fa8b6ec1a8f57
+#: d33dc735503649348590e03efabef94d
 msgid "20 GB"
 msgstr "20 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 0496046d1fb644c28361959b395231d7 3871c7c4432b4a15a9888586cdc70eda
+#: 6c02020d52e94f27b2eb1d10b20e9cca d58f181d10c04980b6d0bdc2be51c01c
 msgid "llama-2-7b"
 msgstr "llama-2-7b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 0c7c632d7c4d44fabfeed58fcc13db8f 78ee1adc6a7e4fa188706a1d5356059f
+#: b9f25fa66dc04e539dfa30b2297ac8aa e1e80256f5444e9aacebb64e053a6b70
 msgid "llama-2-13b"
 msgstr "llama-2-13b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 15a9341d4a6649908ef88045edd0cb93 d385381b0b4d4eff96a93a9d299cf516
+#: 077c1d5b6db248d4aa6a3b0c5b2cc237 987cc7f04eea4d94acd7ca3ee0fdfe20
 msgid "llama-2-70b"
 msgstr "llama-2-70b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: de37a5c2b02a498b9344b24f626db9dc
+#: 18a1070ab2e048c7b3ea90e25d58b38f
 msgid "48 GB"
 msgstr "48 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: e897098f81314ce4bf729aee1de7354c
+#: da0474d2c8214e678021181191a651e5
 msgid "80 GB"
 msgstr "80 GB"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 0782883260f840db8e8bf7c10b5ddf62 b03b5c9343454119ae11fcb2dedf9f90
+#: 49e5fedf491b4b569459c23e4f6ebd69 8b54730a306a46f7a531c13ef825b20a
 msgid "baichuan-7b"
 msgstr "baichuan-7b"
 
 #: ../../getting_started/install/deploy/deploy.md
-#: 008a7d56e8dc4242ae3503bbbf4db153 65ea9ba20adb45519d65da7b16069fa8
+#: 2158255ea61c4a0c9e96bec0df21fa06 694d9b2fe90740c5b9704089d7ddac9d
 msgid "baichuan-13b"
 msgstr "baichuan-13b"
 
 #: ../../getting_started/install/deploy/deploy.md:40
-#: 1e434048c4844cc1906d83dd68af6d8c
+#: a9f9e470d41f4122a95cbc8bd2bc26dc
 msgid "2. Install"
 msgstr "2. Install"
 
 #: ../../getting_started/install/deploy/deploy.md:45
-#: c6190ea13c024ddcb8e45ea22a235c3b
+#: c78fd491a6374224ab95dc39849f871f
 msgid ""
 "We use Sqlite as default database, so there is no need for database "
 "installation.  If you choose to connect to other databases, you can "
@@ -240,12 +240,12 @@ msgstr ""
 " Miniconda](https://docs.conda.io/en/latest/miniconda.html)"
 
 #: ../../getting_started/install/deploy/deploy.md:54
-#: ee1e44044b73460ea8cd2f6c2eb6100d
+#: 12180cd023a04152b1591a87d96d227a
 msgid "Before use DB-GPT Knowledge"
 msgstr "在使用知识库之前"
 
 #: ../../getting_started/install/deploy/deploy.md:60
-#: 6a9ff4138c69429bb159bf452fa7ee55
+#: 2d5c1e241a0b47de81c91eca2c4999c6
 msgid ""
 "Once the environment is installed, we have to create a new folder "
 "\"models\" in the DB-GPT project, and then we can put all the models "
@@ -253,27 +253,27 @@ msgid ""
 msgstr "如果你已经安装好了环境需要创建models, 然后到huggingface官网下载模型"
 
 #: ../../getting_started/install/deploy/deploy.md:63
-#: 1299b19bd0f24cc896c59e2c8e7e656c
+#: 8a79092303e74ab2974fb6edd3d14a1c
 msgid "Notice make sure you have install git-lfs"
 msgstr ""
 
 #: ../../getting_started/install/deploy/deploy.md:65
-#: 69b3433c8e5c4cbb960e0178bdd6ac97
+#: 68e9b02da9994192856fd4572732041d
 msgid "centos:yum install git-lfs"
 msgstr ""
 
 #: ../../getting_started/install/deploy/deploy.md:67
-#: 50e3cfee5fd5484bb063d41693ac75f0
+#: 30cae887feee4ec897d787801d1900db
 msgid "ubuntu:app-get install git-lfs"
 msgstr ""
 
 #: ../../getting_started/install/deploy/deploy.md:69
-#: 81c85ca1188b4ef5b94e0431c6309f9b
+#: 292a52e7f50242c59e7e95bafc8102da
 msgid "macos:brew install git-lfs"
 msgstr ""
 
 #: ../../getting_started/install/deploy/deploy.md:86
-#: 9b503ea553a24d488e1c180bf30055ff
+#: a66af00ea6a0403dbc90df23b0e3c40e
 msgid ""
 "The model files are large and will take a long time to download. During "
 "the download, let's configure the .env file, which needs to be copied and"
@@ -281,7 +281,7 @@ msgid ""
 msgstr "模型文件很大，需要很长时间才能下载。在下载过程中，让我们配置.env文件，它需要从。env.template中复制和创建。"
 
 #: ../../getting_started/install/deploy/deploy.md:88
-#: 643b6a27bc0f43ee9451d18d52a9a2eb
+#: 98934f9d2dda41e9b9bc20078ed750eb
 msgid ""
 "if you want to use openai llm service, see [LLM Use FAQ](https://db-"
 "gpt.readthedocs.io/en/latest/getting_started/faq/llm/llm_faq.html)"
@@ -290,19 +290,19 @@ msgstr ""
 "gpt.readthedocs.io/en/latest/getting_started/faq/llm/llm_faq.html)"
 
 #: ../../getting_started/install/deploy/deploy.md:91
-#: cc869640e66949e99faa17b1098b1306
+#: 727fc8be76dc40d59416b20273faee13
 msgid "cp .env.template .env"
 msgstr "cp .env.template .env"
 
 #: ../../getting_started/install/deploy/deploy.md:94
-#: 1b94ed0e469f413b8e9d0ff3cdabca33
+#: 65a5307640484800b2d667585e92b340
 msgid ""
 "You can configure basic parameters in the .env file, for example setting "
 "LLM_MODEL to the model to be used"
 msgstr "您可以在.env文件中配置基本参数，例如将LLM_MODEL设置为要使用的模型。"
 
 #: ../../getting_started/install/deploy/deploy.md:96
-#: 52cfa3636f2b4f949035d2d54b39a123
+#: ab83b0d6663441e588ceb52bb2e5934c
 msgid ""
 "([Vicuna-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5) based on "
 "llama-2 has been released, we recommend you set `LLM_MODEL=vicuna-"
@@ -313,22 +313,45 @@ msgstr ""
 "目前Vicuna-v1.5模型(基于llama2)已经开源了，我们推荐你使用这个模型通过设置LLM_MODEL=vicuna-13b-v1.5"
 
 #: ../../getting_started/install/deploy/deploy.md:98
-#: 491fd44ede1645a3a2db10097c10dbe8
+#: 4ed331ceacb84a339a7e0038029e356e
 msgid "3. Run"
 msgstr "3. Run"
 
 #: ../../getting_started/install/deploy/deploy.md:100
-#: f66b8a2b18b34df5b3e74674b4a9d7a9
+#: e674fe7a6a9542dfae6e76f8c586cb04
+msgid "**(Optional) load examples into SQLlite**"
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:105
+#: b2de940ecd9444d2ab9ebf8762565fb6
 msgid "1.Run db-gpt server"
 msgstr "1.Run db-gpt server"
 
-#: ../../getting_started/install/deploy/deploy.md:105
-#: b72283f0ffdc4ecbb4da5239be5fd126
+#: ../../getting_started/install/deploy/deploy.md:111
+#: 929d863e28eb4c5b8bd4c53956d3bc76
 msgid "Open http://localhost:5000 with your browser to see the product."
 msgstr "打开浏览器访问http://localhost:5000"
 
+#: ../../getting_started/install/deploy/deploy.md:114
+#: 43dd8b4a017f448f9be4f5432a083c08
+msgid "If you want to access an external LLM service, you need to"
+msgstr ""
+
 #: ../../getting_started/install/deploy/deploy.md:116
-#: 1fae8a8ce4184feba2d74f877a25d8d2
+#: 452a8bbc3e7f43e9a89f244ab0910fd6
+msgid ""
+"1.set the variables LLM_MODEL=YOUR_MODEL_NAME, "
+"MODEL_SERVER=YOUR_MODEL_SERVER（eg:http://localhost:5000） in the .env "
+"file."
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:118
+#: 216350f67d1a4056afb1c0277dd46a0c
+msgid "2.execute dbgpt_server.py in light mode"
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:121
+#: fc9c90ca4d974ee1ade9e972320debba
 msgid ""
 "If you want to learn about dbgpt-webui, read https://github./csunny/DB-"
 "GPT/tree/new-page-framework/datacenter"
@@ -336,71 +359,61 @@ msgstr ""
 "如果你想了解web-ui, 请访问https://github./csunny/DB-GPT/tree/new-page-"
 "framework/datacenter"
 
-#: ../../getting_started/install/deploy/deploy.md:123
-#: 573c0349bd2140e9bb356b53f1da6ee3
+#: ../../getting_started/install/deploy/deploy.md:127
+#: c0df0cdc5dea4ef3bef4d4c1f4cc52ad
 #, fuzzy
 msgid "Multiple GPUs"
 msgstr "4. Multiple GPUs"
 
-#: ../../getting_started/install/deploy/deploy.md:125
-#: af5d6a12ec954da19576decdf434df5d
+#: ../../getting_started/install/deploy/deploy.md:129
+#: c3aed00fa8364e6eaab79a23cf649558
 msgid ""
 "DB-GPT will use all available gpu by default. And you can modify the "
 "setting `CUDA_VISIBLE_DEVICES=0,1` in `.env` file to use the specific gpu"
 " IDs."
 msgstr "DB-GPT默认加载可利用的gpu，你也可以通过修改 在`.env`文件 `CUDA_VISIBLE_DEVICES=0,1`来指定gpu IDs"
 
-#: ../../getting_started/install/deploy/deploy.md:127
-#: de96662007194418a2877cece51dc5cb
+#: ../../getting_started/install/deploy/deploy.md:131
+#: 88b7510fef5943c5b4807bc92398a604
 msgid ""
 "Optionally, you can also specify the gpu ID to use before the starting "
 "command, as shown below:"
 msgstr "你也可以指定gpu ID启动"
 
-#: ../../getting_started/install/deploy/deploy.md:137
-#: 9cb0ff253fb2428dbaec97570e5c4fa4
+#: ../../getting_started/install/deploy/deploy.md:141
+#: 2cf93d3291bd4f56a3677e607f6185e7
 msgid ""
 "You can modify the setting `MAX_GPU_MEMORY=xxGib` in `.env` file to "
 "configure the maximum memory used by each GPU."
 msgstr "同时你可以通过在.env文件设置`MAX_GPU_MEMORY=xxGib`修改每个GPU的最大使用内存"
 
-#: ../../getting_started/install/deploy/deploy.md:139
-#: c708ee0a321444dd91be00cda469976c
+#: ../../getting_started/install/deploy/deploy.md:143
+#: 00aac35bec094f99bd1f2f5f344cd3f5
 #, fuzzy
 msgid "Not Enough Memory"
 msgstr "5. Not Enough Memory"
 
-#: ../../getting_started/install/deploy/deploy.md:141
-#: 760347ecf9a44d03a8e17cba153a2cc6
+#: ../../getting_started/install/deploy/deploy.md:145
+#: d3d4b8cd24114a24929f62bbe7bae1a2
 msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
 msgstr "DB-GPT 支持 8-bit quantization 和 4-bit quantization."
 
-#: ../../getting_started/install/deploy/deploy.md:143
-#: 32e3dc941bfe4d6587e8be262f8fb4d3
+#: ../../getting_started/install/deploy/deploy.md:147
+#: eb9412b79f044aebafd59ecf3cc4f873
 msgid ""
 "You can modify the setting `QUANTIZE_8bit=True` or `QUANTIZE_4bit=True` "
 "in `.env` file to use quantization(8-bit quantization is enabled by "
 "default)."
 msgstr "你可以通过在.env文件设置`QUANTIZE_8bit=True` or `QUANTIZE_4bit=True`"
 
-#: ../../getting_started/install/deploy/deploy.md:145
-#: bdc9a3788149427bac9f3cf35578e206
+#: ../../getting_started/install/deploy/deploy.md:149
+#: b27c4982ec9b4ff0992d477be1100488
 msgid ""
 "Llama-2-70b with 8-bit quantization can run with 80 GB of VRAM, and 4-bit"
 " quantization can run with 48 GB of VRAM."
 msgstr ""
-"Llama-2-70b with 8-bit quantization 可以运行在 80 GB VRAM机器， 4-bit "
-"quantization 可以运行在 48 GB  VRAM"
-
-#: ../../getting_started/install/deploy/deploy.md:147
-#: 9b6085c41b5c4b96ac3e917dc5002fc2
-msgid ""
-"Note: you need to install the latest dependencies according to "
-"[requirements.txt](https://github.com/eosphoros-ai/DB-"
-"GPT/blob/main/requirements.txt)."
-msgstr ""
-"注意，需要安装[requirements.txt](https://github.com/eosphoros-ai/DB-"
-"GPT/blob/main/requirements.txt)涉及的所有的依赖"
+"Llama-2-70b with 8-bit quantization 可以运行在80GB VRAM机器， 4-bit "
+"quantization可以运行在 48 GB  VRAM"
 
 #~ msgid ""
 #~ "Notice make sure you have install "
@@ -441,3 +454,12 @@ msgstr ""
 #~ "如果你想访问外部的大模型服务(是通过DB-"
 #~ "GPT/pilot/server/llmserver.py启动的模型服务)，1.需要在.env文件设置模型名和外部模型服务地址。2.使用light模式启动服务"
 
+#~ msgid ""
+#~ "Note: you need to install the "
+#~ "latest dependencies according to "
+#~ "[requirements.txt](https://github.com/eosphoros-ai/DB-"
+#~ "GPT/blob/main/requirements.txt)."
+#~ msgstr ""
+#~ "注意，需要安装[requirements.txt](https://github.com/eosphoros-ai/DB-"
+#~ "GPT/blob/main/requirements.txt)涉及的所有的依赖"
+
diff --git a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/llm/llama/llama_cpp.po b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/llm/llama/llama_cpp.po
index d3c61cc54..1d66e5224 100644
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/llm/llama/llama_cpp.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/llm/llama/llama_cpp.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.5\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-17 21:23+0800\n"
+"POT-Creation-Date: 2023-08-21 16:59+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -20,303 +20,320 @@ msgstr ""
 "Generated-By: Babel 2.12.1\n"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md:1
-#: 911085eb102a47c1832411ada8b8b906
+#: 24d5c21cd8b44f1d8585ba5c83e34acc
 msgid "llama.cpp"
 msgstr "llama.cpp"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:3
-#: 8099fe03f2204c7f90968ae5c0cae117
-msgid ""
-"DB-GPT is now supported by [llama-cpp-python](https://github.com/abetlen"
-"/llama-cpp-python) through "
-"[llama.cpp](https://github.com/ggerganov/llama.cpp)."
-msgstr "DB-GPT is now supported by [llama-cpp-python](https://github.com/abetlen"
-"/llama-cpp-python) through "
-"[llama.cpp](https://github.com/ggerganov/llama.cpp)."
-
 #: ../../getting_started/install/llm/llama/llama_cpp.md:5
-#: 79c33615ad6d44859b33ed0d05fdb1a5
+#: 56969ff863d949aa8df55d3bdb6957e7
+msgid ""
+"DB-GPT already supports "
+"[llama.cpp](https://github.com/ggerganov/llama.cpp) via [llama-cpp-"
+"python](https://github.com/abetlen/llama-cpp-python)."
+msgstr ""
+
+#: ../../getting_started/install/llm/llama/llama_cpp.md:7
+#: afe223eafcc641779e1580cac574c34a
 msgid "Running llama.cpp"
 msgstr "运行 llama.cpp"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:7
-#: 3111bf827639484fb5e5f72a42b1b4e7
+#: ../../getting_started/install/llm/llama/llama_cpp.md:9
+#: 0eaf98a036434eecb2af1fa89f045620
 msgid "Preparing Model Files"
 msgstr "准备模型文件"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:9
-#: 823f04ec193946d080b203a19c4ed96f
+#: ../../getting_started/install/llm/llama/llama_cpp.md:11
+#: 4f45be5d9658451fb95f1d5d31dc8778
 msgid ""
 "To use llama.cpp, you need to prepare a ggml format model file, and there"
 " are two common ways to obtain it, you can choose either:"
 msgstr "使用llama.cpp, 你需要准备ggml格式的文件，你可以通过以下两种方法获取"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:11
-#: c631f3c1a1db429c801c24fa7799b2e1
+#: ../../getting_started/install/llm/llama/llama_cpp.md:13
+#: 9934596e0f6e466aae63cefbb019e0ec
 msgid "Download a pre-converted model file."
 msgstr "Download a pre-converted model file."
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:13
-#: 1ac7d5845ca241519ec15236e9802af6
+#: ../../getting_started/install/llm/llama/llama_cpp.md:15
+#: 33fef76961064a5ca4c86c57111c8bd3
 msgid ""
 "Suppose you want to use [Vicuna 7B v1.5](https://huggingface.co/lmsys"
 "/vicuna-7b-v1.5), you can download the file already converted from "
 "[TheBloke/vicuna-7B-v1.5-GGML](https://huggingface.co/TheBloke/vicuna-"
 "7B-v1.5-GGML), only one file is needed. Download it to the `models` "
 "directory and rename it to `ggml-model-q4_0.bin`."
-msgstr "假设您想使用[Vicuna 7B v1.5](https://huggingface.co/lmsys"
-"/vicuna-7b-v1.5)您可以从[TheBloke/vicuna-7B-v1.5-GGML](https://huggingface.co/TheBloke/vicuna-"
+msgstr ""
+"假设您想使用[Vicuna 7B v1.5](https://huggingface.co/lmsys/vicuna-"
+"7b-v1.5)您可以从[TheBloke/vicuna-"
+"7B-v1.5-GGML](https://huggingface.co/TheBloke/vicuna-"
 "7B-v1.5-GGML)下载已转换的文件，只需要一个文件。将其下载到models目录并将其重命名为ggml-model-q4_0.bin。"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:19
-#: 65344fafdaa1469797592e454ebee7b5
+#: ../../getting_started/install/llm/llama/llama_cpp.md:21
+#: 65fed5b7e95b4205b2b94596a21b6fe8
 msgid "Convert It Yourself"
 msgstr "Convert It Yourself"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:21
-#: 8da2bda172884c9fb2d64901d8b9178c
+#: ../../getting_started/install/llm/llama/llama_cpp.md:23
+#: 1421761d320046f79f725e64bd7d854c
 msgid ""
 "You can convert the model file yourself according to the instructions in "
 "[llama.cpp#prepare-data--run](https://github.com/ggerganov/llama.cpp"
 "#prepare-data--run), and put the converted file in the models directory "
 "and rename it to `ggml-model-q4_0.bin`."
-msgstr "您可以根据[llama.cpp#prepare-data--run](https://github.com/ggerganov/llama.cpp"
-"#prepare-data--run)中的说明自己转换模型文件，然后将转换后的文件放入models目录中，并将其重命名为ggml-model-q4_0.bin。"
+msgstr ""
+"您可以根据[llama.cpp#prepare-data--run](https://github.com/ggerganov/llama.cpp"
+"#prepare-data--run)中的说明自己转换模型文件，然后将转换后的文件放入models目录中，并将其重命名为ggml-"
+"model-q4_0.bin。"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:23
-#: d30986c0a84448ff89bc4bb84e3d0deb
+#: ../../getting_started/install/llm/llama/llama_cpp.md:25
+#: 850b1f8ef6be49b192e01c1b7d8f1f26
 msgid "Installing Dependencies"
 msgstr "安装依赖"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:25
-#: b91ca009587b45679c54f4dce07c2eb3
+#: ../../getting_started/install/llm/llama/llama_cpp.md:27
+#: b323ee4799d745cc9c0a449bd37c371a
 msgid ""
 "llama.cpp is an optional dependency in DB-GPT, and you can manually "
 "install it using the following command:"
 msgstr "llama.cpp在DB-GPT中是可选安装项, 你可以通过一下命令进行安装"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:31
-#: 2c89087ba2214d97bc01a286826042bc
+#: ../../getting_started/install/llm/llama/llama_cpp.md:33
+#: 75b75c84ffb7476d8501a28bb2719615
 msgid "Modifying the Configuration File"
 msgstr "修改配置文件"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:33
-#: e4ebd4dac0cd4fb4a8e3c1f6edde7ea8
+#: ../../getting_started/install/llm/llama/llama_cpp.md:35
+#: d1f8b3e1ad3441f2aafbfe2519113c2c
 msgid "Next, you can directly modify your `.env` file to enable llama.cpp."
 msgstr "修改`.env`文件使用llama.cpp"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:40
-#: 2fce7ec613784c8e96f19e9f4c4fb818
+#: ../../getting_started/install/llm/llama/llama_cpp.md:42
+#: 2ddcab3834f646e58a8b3316abf6ce3a
 msgid ""
 "Then you can run it according to [Run](https://db-"
 "gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html#run)."
-msgstr "然后你可以通过[Run](https://db-"
+msgstr ""
+"然后你可以通过[Run](https://db-"
 "gpt.readthedocs.io/en/latest/getting_started/install/deploy/deploy.html#run).来运行"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:43
-#: 9bbaa16512d2420aa368ba34825cc024
+#: ../../getting_started/install/llm/llama/llama_cpp.md:45
+#: bb9f222d22534827a9fa164b2126d192
 msgid "More Configurations"
 msgstr "更多配置文件"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:45
-#: 5ce014aa175d4a119150cf184098a0c3
+#: ../../getting_started/install/llm/llama/llama_cpp.md:47
+#: 14d016ad5bad451888d01e24f0ca86d9
 msgid ""
 "In DB-GPT, the model configuration can be done through  `{model "
 "name}_{config key}`."
-msgstr "In DB-GPT, the model configuration can be done through  `{model "
+msgstr ""
+"In DB-GPT, the model configuration can be done through  `{model "
 "name}_{config key}`."
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 09d1f9eaf6cc4267b1eb94e4a8e78ba9
+#: a1bf4c1f49bd4d97ac45d4f3aff442c6
 msgid "Environment Variable Key"
 msgstr "Environment Variable Key"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 6650b3f2495e41588e23d8a2647e7ce3
+#: 92692a38219c432fadffb8b3825ce678
 msgid "default"
 msgstr "default"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 8f33e692a7fc41e1a42663535b95a08c
+#: 72b2d251aa2e4ca09c335b58e1a08de3
 msgid "Prompt Template Name"
 msgstr "Prompt Template Name"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 2f8ca1f267694949a2b251d0ef576fd8
+#: 85a9f89eeb9a4b70b56913354e947329
 msgid "llama_cpp_prompt_template"
 msgstr "llama_cpp_prompt_template"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 9b6d310d3f3c454488f76062c8bcda67 c80abec11c3240cf9d0122543e9401c3
-#: ed439c9374d74543a8d2a4f88f4db958 f49b3e4281b14f1b8909cd13159d406a
-#: ffa824cc22a946ab851124b58cf7441a
+#: 17e9750fbb824dfdaaed5415f6406e35 602016763bb2470d8a8ef700e576407b
+#: 790caafd5c4c4cecbb4c190745fb994c ceb6c41315ab4c5798ab3c64ee8693eb
+#: cfafab69a2684e27bd55aadfdd4c1575
 msgid "None"
 msgstr "None"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: f41bd292bcb9491096c39b36bceb3816
+#: 5d02f2d1d5834b1e9e5d6982247fd6c9
 msgid ""
 "Prompt template name, now support: `zero_shot, vicuna_v1.1, llama-2"
 ",baichuan-chat`, If None, the prompt template is automatically determined"
 " from model path。"
-msgstr "Prompt template 现在可以支持`zero_shot, vicuna_v1.1, llama-2"
-",baichuan-chat`, 如果是None, the prompt template可以自动选择模型路径"
+msgstr ""
+"Prompt template 现在可以支持`zero_shot, vicuna_v1.1, llama-2,baichuan-chat`, "
+"如果是None, the prompt template可以自动选择模型路径"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 8125df74f1a7429eb0c5ce350edc9315
+#: 2a95bc11386f45498b3585b194f24c17
 msgid "llama_cpp_model_path"
 msgstr "llama_cpp_model_path"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 28ad71d410fb4757821bf8cc1c232357
+#: c02db8a50e7a4df0acb6b75798a3ad4b
 msgid "Model path"
 msgstr "Model path"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: b7133f115d79477ab416dc63c64d8aa7
+#: 6c92b2ec52634728bcc421670cdda70b
 msgid "llama_cpp_n_gpu_layers"
 msgstr "llama_cpp_n_gpu_layers"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 7cdd27333a464ebeab6bf41bca709816
+#: 9f1e1b763a0b40d28efd734fe20e1ba7
 msgid "1000000000"
 msgstr "1000000000"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 667ec37bc6824eba999f39f4e6072999
-msgid "Number of layers to offload to the GPU, Set this to 1000000000 to offload"
+#: 0f511b7907594c1f9c9818638764f209
+msgid ""
+"Number of layers to offload to the GPU, Set this to 1000000000 to offload"
 " all layers to the GPU. If your GPU VRAM is not enough, you can set a low"
 " number, eg: `10`"
 msgstr "要将层数转移到GPU上，将其设置为1000000000以将所有层转移到GPU上。如果您的GPU VRAM不足，可以设置较低的数字，例如：10。"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: edae6c77475d4958a96d59b4bd165916
+#: 1ffdfa4eb78d4127b302b6d703852692
 msgid "llama_cpp_n_threads"
 msgstr "llama_cpp_n_threads"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 8fef1cdd4b0b42faadc717a58b9434a4
+#: f14379e7ea16476da403d5085b67db1c
 msgid ""
 "Number of threads to use. If None, the number of threads is automatically"
 " determined"
 msgstr "要使用的线程数量。如果为None，则线程数量将自动确定。"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: ef5f27f600aa4eaf8080d6dca46ad434
+#: 41cc1035f6e340e19848452d48a161db
 msgid "llama_cpp_n_batch"
 msgstr "llama_cpp_n_batch"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: be999101e5f84b83bde0d8e801083c52
+#: 993c3b9218ee4299beae53bd75a01001
 msgid "512"
 msgstr "512"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: cdc7a51c720a4fe38323eb7a1cfa6bd1
+#: 0e11d38c9b58478cacdade34de146320
 msgid "Maximum number of prompt tokens to batch together when calling llama_eval"
-msgstr "在调用llama_eval时，批处理在一起的prompt tokens的最大数量。
-
-"
+msgstr "在调用llama_eval时，批处理在一起的prompt tokens的最大数量"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 26d08360c2df4d018b2416cf8e4b3f48
+#: 24f5381956d34569aabee4a5d832388b
 msgid "llama_cpp_n_gqa"
 msgstr "llama_cpp_n_gqa"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 4d22c4f8e285445f9c26d181cf350cb7
+#: 07d05844541c452caaa8d5bf56c3f8a1
 msgid "Grouped-query attention. Must be 8 for llama-2 70b."
 msgstr "对于llama-2 70b模型，Grouped-query attention必须为8。"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 18e5e5ba6ac64e818546742458fb4c84
+#: 40a1b9750d854bb19dc18b7d530beccf
 msgid "llama_cpp_rms_norm_eps"
 msgstr "llama_cpp_rms_norm_eps"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: fc85743d71e1428fa2aa0423ff9d9170
+#: 6018ee183b9548eabf91e9fc683e7c24
 msgid "5e-06"
 msgstr "5e-06"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: bfc53bec0df94d9e8e9cc7d3333a69c1
+#: eb273c6bcf2c4c47808024008ce230dc
 msgid "5e-6 is a good value for llama-2 models."
 msgstr "对于llama-2模型来说，5e-6是一个不错的值。"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 81fc8f37787d48b0b1da826a2f887886
+#: f70f3e935b764b6f9544d201ba2aaa05
 msgid "llama_cpp_cache_capacity"
 msgstr "llama_cpp_cache_capacity"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 125e3285249449cb90bbff063868d4d4
+#: 70035ec5be244eda9fe93be3df2c66df
 msgid "Maximum cache capacity. Examples: 2000MiB, 2GiB"
 msgstr "cache capacity最大值. Examples: 2000MiB, 2GiB"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: 31ed49d49f574d4983738d91bed95fc9
+#: 164c31b005ae4979938d9bc67e7f2759
 msgid "llama_cpp_prefer_cpu"
 msgstr "llama_cpp_prefer_cpu"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: b6ed0d5394874bb38c7468216b8bca88
+#: 28f890f6bee3412e94aeb1326367326e
 msgid "False"
 msgstr "False"
 
 #: ../../getting_started/install/llm/llama/llama_cpp.md
-#: d148d6b130454666a601b65b444c7e51
+#: f8f27b6323384431ba064a720f39f997
 msgid ""
 "If a GPU is available, it will be preferred by default, unless "
 "prefer_cpu=False is configured."
 msgstr "如果有可用的GPU，默认情况下会优先使用GPU，除非配置了prefer_cpu=False。"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:59
-#: 75bd31d245b148569bcf9eca6c8bec9c
+#: ../../getting_started/install/llm/llama/llama_cpp.md:61
+#: 0471e56c790047bab422aa47edad0a15
 msgid "GPU Acceleration"
 msgstr "GPU 加速"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:61
-#: 1cf5538f9d39457e901f4120f76d54c1
+#: ../../getting_started/install/llm/llama/llama_cpp.md:63
+#: e95ad40d29004455bebeec8a1a7248c8
 msgid ""
 "GPU acceleration is supported by default. If you encounter any issues, "
 "you can uninstall the dependent packages with the following command:"
 msgstr "默认情况下支持GPU加速。如果遇到任何问题，您可以使用以下命令卸载相关的依赖包"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:66
-#: 08f8eea38e5e44fa80b528b75a379acf
+#: ../../getting_started/install/llm/llama/llama_cpp.md:68
+#: c0caf1420e43437589693ddec96bd50f
 msgid ""
 "Then install `llama-cpp-python` according to the instructions in [llama-"
 "cpp-python](https://github.com/abetlen/llama-cpp-"
 "python/blob/main/README.md)."
-msgstr "然后通过指令[llama-"
-"cpp-python](https://github.com/abetlen/llama-cpp-"
+msgstr ""
+"然后通过指令[llama-cpp-python](https://github.com/abetlen/llama-cpp-"
 "python/blob/main/README.md).安装`llama-cpp-python`"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:69
-#: abea5d4418c54657981640d6227b7be2
+#: ../../getting_started/install/llm/llama/llama_cpp.md:71
+#: fe082f65b4e9416c97b18e5005bc0a59
 msgid "Mac Usage"
 msgstr "Mac Usage"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:71
-#: be9fb5ecbdd5495b98007decccbd0372
+#: ../../getting_started/install/llm/llama/llama_cpp.md:73
+#: 6f30d3fa399f434189fcb03d28a42d2d
 msgid ""
 "Special attention, if you are using Apple Silicon (M1) Mac, it is highly "
 "recommended to install arm64 architecture python support, for example:"
 msgstr "特别注意：如果您正在使用苹果芯片（M1）的Mac电脑，强烈建议安装arm64架构的Python支持，例如："
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:78
-#: efd6dfd4e9e24bf884803143e2b123f2
+#: ../../getting_started/install/llm/llama/llama_cpp.md:80
+#: 74602bede3c5472fbabc7de47eb2ff7a
 msgid "Windows Usage"
 msgstr "Windows使用"
 
-#: ../../getting_started/install/llm/llama/llama_cpp.md:80
-#: 27ecf054aa294a2eaed701c46edf27a7
+#: ../../getting_started/install/llm/llama/llama_cpp.md:82
+#: ae78332a348b44cb847723a998b98048
 msgid ""
 "The use under the Windows platform has not been rigorously tested and "
 "verified, and you are welcome to use it. If you have any problems, you "
 "can create an [issue](https://github.com/eosphoros-ai/DB-GPT/issues) or "
 "[contact us](https://github.com/eosphoros-ai/DB-GPT/tree/main#contact-"
 "information) directly."
-msgstr "在Windows平台上的使用尚未经过严格的测试和验证，欢迎您使用。如果您有任何问题，可以创建一个[issue](https://github.com/eosphoros-ai/DB-GPT/issues)或者[contact us](https://github.com/eosphoros-ai/DB-GPT/tree/main#contact-"
-"information) directly."
+msgstr ""
+"在Windows平台上的使用尚未经过严格的测试和验证，欢迎您使用。如果您有任何问题，可以创建一个[issue](https://github.com"
+"/eosphoros-ai/DB-GPT/issues)或者[contact us](https://github.com/eosphoros-"
+"ai/DB-GPT/tree/main#contact-information) directly."
+
+#~ msgid ""
+#~ "DB-GPT is now supported by "
+#~ "[llama-cpp-python](https://github.com/abetlen/llama-"
+#~ "cpp-python) through "
+#~ "[llama.cpp](https://github.com/ggerganov/llama.cpp)."
+#~ msgstr ""
+#~ "DB-GPT is now supported by "
+#~ "[llama-cpp-python](https://github.com/abetlen/llama-"
+#~ "cpp-python) through "
+#~ "[llama.cpp](https://github.com/ggerganov/llama.cpp)."
 
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 4b7c0d72f..1b7f62282 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -12,4 +12,5 @@ sphinx-panels
 toml
 myst_nb
 sphinx_copybutton
-pydata-sphinx-theme==0.13.1
\ No newline at end of file
+pydata-sphinx-theme==0.13.1
+furo
\ No newline at end of file
diff --git a/pilot/common/schema.py b/pilot/common/schema.py
index eb25fe5e9..75f9b05a5 100644
--- a/pilot/common/schema.py
+++ b/pilot/common/schema.py
@@ -29,6 +29,7 @@ class DBType(Enum):
     Oracle = DbInfo("oracle")
     MSSQL = DbInfo("mssql")
     Postgresql = DbInfo("postgresql")
+    Clickhouse = DbInfo("clickhouse")
 
     def value(self):
         return self._value_.name
diff --git a/pilot/configs/model_config.py b/pilot/configs/model_config.py
index 0623cbe84..0fef54daf 100644
--- a/pilot/configs/model_config.py
+++ b/pilot/configs/model_config.py
@@ -41,6 +41,12 @@ LLM_MODEL_CONFIG = {
     "m3e-base": os.path.join(MODEL_PATH, "m3e-base"),
     # https://huggingface.co/moka-ai/m3e-base
     "m3e-large": os.path.join(MODEL_PATH, "m3e-large"),
+    # https://huggingface.co/BAAI/bge-large-en
+    "bge-large-en": os.path.join(MODEL_PATH, "bge-large-en"),
+    "bge-base-en": os.path.join(MODEL_PATH, "bge-base-en"),
+    # https://huggingface.co/BAAI/bge-large-zh
+    "bge-large-zh": os.path.join(MODEL_PATH, "bge-large-zh"),
+    "bge-base-zh": os.path.join(MODEL_PATH, "bge-base-zh"),
     "sentence-transforms": os.path.join(MODEL_PATH, "all-MiniLM-L6-v2"),
     "codegen2-1b": os.path.join(MODEL_PATH, "codegen2-1B"),
     "codet5p-2b": os.path.join(MODEL_PATH, "codet5p-2b"),
diff --git a/pilot/connections/manages/connection_manager.py b/pilot/connections/manages/connection_manager.py
index ba184d4e3..1e4ec826e 100644
--- a/pilot/connections/manages/connection_manager.py
+++ b/pilot/connections/manages/connection_manager.py
@@ -11,6 +11,7 @@ from pilot.connections.rdbms.conn_duckdb import DuckDbConnect
 from pilot.connections.rdbms.conn_sqlite import SQLiteConnect
 from pilot.connections.rdbms.conn_mssql import MSSQLConnect
 from pilot.connections.rdbms.base import RDBMSDatabase
+from pilot.connections.rdbms.conn_clickhouse import ClickhouseConnect
 from pilot.singleton import Singleton
 from pilot.common.sql_database import Database
 from pilot.connections.db_conn_info import DBConfig
diff --git a/pilot/connections/rdbms/conn_clickhouse.py b/pilot/connections/rdbms/conn_clickhouse.py
new file mode 100644
index 000000000..0433b4b76
--- /dev/null
+++ b/pilot/connections/rdbms/conn_clickhouse.py
@@ -0,0 +1,108 @@
+import re
+from typing import Optional, Any
+from sqlalchemy import text
+
+from pilot.connections.rdbms.base import RDBMSDatabase
+
+
+class ClickhouseConnect(RDBMSDatabase):
+    """Connect Clickhouse Database fetch MetaData
+    Args:
+    Usage:
+    """
+
+    """db type"""
+    db_type: str = "clickhouse"
+    """db driver"""
+    driver: str = "clickhouse"
+    """db dialect"""
+    db_dialect: str = "clickhouse"
+
+    @classmethod
+    def from_uri_db(
+        cls,
+        host: str,
+        port: int,
+        user: str,
+        pwd: str,
+        db_name: str,
+        engine_args: Optional[dict] = None,
+        **kwargs: Any,
+    ) -> RDBMSDatabase:
+        db_url: str = (
+            cls.driver
+            + "://"
+            + user
+            + ":"
+            + pwd
+            + "@"
+            + host
+            + ":"
+            + str(port)
+            + "/"
+            + db_name
+        )
+        return cls.from_uri(db_url, engine_args, **kwargs)
+
+    def get_indexes(self, table_name):
+        """Get table indexes about specified table."""
+        return ""
+
+    def get_show_create_table(self, table_name):
+        """Get table show create table about specified table."""
+        session = self._db_sessions()
+        cursor = session.execute(text(f"SHOW CREATE TABLE  {table_name}"))
+        ans = cursor.fetchall()
+        ans = ans[0][0]
+        ans = re.sub(r"\s*ENGINE\s*=\s*MergeTree\s*", " ", ans, flags=re.IGNORECASE)
+        ans = re.sub(
+            r"\s*DEFAULT\s*CHARSET\s*=\s*\w+\s*", " ", ans, flags=re.IGNORECASE
+        )
+        ans = re.sub(r"\s*SETTINGS\s*\s*\w+\s*", " ", ans, flags=re.IGNORECASE)
+        return ans
+
+    def get_fields(self, table_name):
+        """Get column fields about specified table."""
+        session = self._db_sessions()
+        cursor = session.execute(
+            text(
+                f"SELECT name, type, default_expression, is_in_primary_key, comment  from system.columns where table='{table_name}'".format(
+                    table_name
+                )
+            )
+        )
+        fields = cursor.fetchall()
+        return [(field[0], field[1], field[2], field[3], field[4]) for field in fields]
+
+    def get_users(self):
+        return []
+
+    def get_grants(self):
+        return []
+
+    def get_collation(self):
+        """Get collation."""
+        return "UTF-8"
+
+    def get_charset(self):
+        return "UTF-8"
+
+    def get_database_list(self):
+        return []
+
+    def get_database_names(self):
+        return []
+
+    def get_table_comments(self, db_name):
+        session = self._db_sessions()
+        cursor = session.execute(
+            text(
+                f"""SELECT table, comment FROM system.tables WHERE database = '{db_name}'""".format(
+                    db_name
+                )
+            )
+        )
+        table_comments = cursor.fetchall()
+        return [
+            (table_comment[0], table_comment[1]) for table_comment in table_comments
+        ]
diff --git a/pilot/connections/rdbms/conn_sqlite.py b/pilot/connections/rdbms/conn_sqlite.py
index 1740537cf..3b980b555 100644
--- a/pilot/connections/rdbms/conn_sqlite.py
+++ b/pilot/connections/rdbms/conn_sqlite.py
@@ -1,6 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
+import os
 from typing import Optional, Any, Iterable
 from sqlalchemy import create_engine, text
 
@@ -24,6 +25,9 @@ class SQLiteConnect(RDBMSDatabase):
         _engine_args = engine_args or {}
         _engine_args["connect_args"] = {"check_same_thread": False}
         # _engine_args["echo"] = True
+        directory = os.path.dirname(file_path)
+        if not os.path.exists(directory):
+            os.makedirs(directory)
         return cls(create_engine("sqlite:///" + file_path, **_engine_args), **kwargs)
 
     def get_indexes(self, table_name):
diff --git a/pilot/model/adapter.py b/pilot/model/adapter.py
index d97d2cb2b..05f9ffdcb 100644
--- a/pilot/model/adapter.py
+++ b/pilot/model/adapter.py
@@ -233,18 +233,10 @@ class GorillaAdapter(BaseLLMAdaper):
         return model, tokenizer
 
 
-class CodeGenAdapter(BaseLLMAdaper):
-    pass
-
-
 class StarCoderAdapter(BaseLLMAdaper):
     pass
 
 
-class T5CodeAdapter(BaseLLMAdaper):
-    pass
-
-
 class KoalaLLMAdapter(BaseLLMAdaper):
     """Koala LLM Adapter which Based LLaMA"""
 
@@ -270,7 +262,7 @@ class GPT4AllAdapter(BaseLLMAdaper):
     """
 
     def match(self, model_path: str):
-        return "gpt4all" in model_path
+        return "gptj-6b" in model_path
 
     def loader(self, model_path: str, from_pretrained_kwargs: dict):
         import gpt4all
diff --git a/pilot/model/conversation.py b/pilot/model/conversation.py
index 5ee54cfc1..8508881b7 100644
--- a/pilot/model/conversation.py
+++ b/pilot/model/conversation.py
@@ -335,6 +335,20 @@ register_conv_template(
     )
 )
 
+# Alpaca default template
+register_conv_template(
+    Conversation(
+        name="alpaca",
+        system="Below is an instruction that describes a task. Write a response that appropriately completes the request.",
+        roles=("### Instruction", "### Response"),
+        messages=(),
+        offset=0,
+        sep_style=SeparatorStyle.ADD_COLON_TWO,
+        sep="\n\n",
+        sep2="</s>",
+    )
+)
+
 # Baichuan-13B-Chat template
 register_conv_template(
     # source: https://huggingface.co/baichuan-inc/Baichuan-13B-Chat/blob/f5f47be2adbbdceb784f334d6fa1ca2c73e65097/modeling_baichuan.py#L507
diff --git a/pilot/model/llm_out/gpt4all_llm.py b/pilot/model/llm_out/gpt4all_llm.py
index 7a39a8012..3ea6b8206 100644
--- a/pilot/model/llm_out/gpt4all_llm.py
+++ b/pilot/model/llm_out/gpt4all_llm.py
@@ -1,23 +1,10 @@
 #!/usr/bin/env python3
 # -*- coding:utf-8 -*-
-import threading
-import sys
-import time
 
 
 def gpt4all_generate_stream(model, tokenizer, params, device, max_position_embeddings):
     stop = params.get("stop", "###")
     prompt = params["prompt"]
-    role, query = prompt.split(stop)[1].split(":")
+    role, query = prompt.split(stop)[0].split(":")
     print(f"gpt4all, role: {role}, query: {query}")
-
-    def worker():
-        model.generate(prompt=query, streaming=True)
-
-    t = threading.Thread(target=worker)
-    t.start()
-
-    while t.is_alive():
-        yield sys.stdout.output
-        time.sleep(0.01)
-    t.join()
+    yield model.generate(prompt=query, streaming=True)
diff --git a/pilot/openapi/api_v1/api_v1.py b/pilot/openapi/api_v1/api_v1.py
index 828521b00..39faa9be8 100644
--- a/pilot/openapi/api_v1/api_v1.py
+++ b/pilot/openapi/api_v1/api_v1.py
@@ -110,7 +110,13 @@ async def db_connect_delete(db_name: str = None):
 
 @router.get("/v1/chat/db/support/type", response_model=Result[DbTypeInfo])
 async def db_support_types():
-    support_types = [DBType.Mysql, DBType.MSSQL, DBType.DuckDb]
+    support_types = [
+        DBType.Mysql,
+        DBType.MSSQL,
+        DBType.DuckDb,
+        DBType.SQLite,
+        DBType.Clickhouse,
+    ]
     db_type_infos = []
     for type in support_types:
         db_type_infos.append(
@@ -315,6 +321,7 @@ async def no_stream_generator(chat):
 
 async def stream_generator(chat):
     model_response = chat.stream_call()
+    msg = "[LLM_ERROR]: llm server has no output, maybe your prompt template is wrong."
     if not CFG.NEW_SERVER_MODE:
         for chunk in model_response.iter_lines(decode_unicode=False, delimiter=b"\0"):
             if chunk:
diff --git a/pilot/server/chat_adapter.py b/pilot/server/chat_adapter.py
index 07b44b28c..0bc53e8fd 100644
--- a/pilot/server/chat_adapter.py
+++ b/pilot/server/chat_adapter.py
@@ -148,28 +148,6 @@ class ChatGLMChatAdapter(BaseChatAdpter):
         return chatglm_generate_stream
 
 
-class CodeT5ChatAdapter(BaseChatAdpter):
-    """Model chat adapter for CodeT5"""
-
-    def match(self, model_path: str):
-        return "codet5" in model_path
-
-    def get_generate_stream_func(self, model_path: str):
-        # TODO
-        pass
-
-
-class CodeGenChatAdapter(BaseChatAdpter):
-    """Model chat adapter for CodeGen"""
-
-    def match(self, model_path: str):
-        return "codegen" in model_path
-
-    def get_generate_stream_func(self, model_path: str):
-        # TODO
-        pass
-
-
 class GuanacoChatAdapter(BaseChatAdpter):
     """Model chat adapter for Guanaco"""
 
@@ -216,7 +194,7 @@ class GorillaChatAdapter(BaseChatAdpter):
 
 class GPT4AllChatAdapter(BaseChatAdpter):
     def match(self, model_path: str):
-        return "gpt4all" in model_path
+        return "gptj-6b" in model_path
 
     def get_generate_stream_func(self, model_path: str):
         from pilot.model.llm_out.gpt4all_llm import gpt4all_generate_stream
diff --git a/pilot/server/knowledge/api.py b/pilot/server/knowledge/api.py
index 158f6d296..be141b8f2 100644
--- a/pilot/server/knowledge/api.py
+++ b/pilot/server/knowledge/api.py
@@ -1,5 +1,6 @@
 import os
 import shutil
+import tempfile
 from tempfile import NamedTemporaryFile
 
 from fastapi import APIRouter, File, UploadFile, Form
@@ -130,29 +131,28 @@ async def document_upload(
         if doc_file:
             if not os.path.exists(os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, space_name)):
                 os.makedirs(os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, space_name))
-            with NamedTemporaryFile(
-                dir=os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, space_name), delete=False
-            ) as tmp:
+            # We can not move temp file in windows system when we open file in context of `with`
+            tmp_fd, tmp_path = tempfile.mkstemp(
+                dir=os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, space_name)
+            )
+            with os.fdopen(tmp_fd, "wb") as tmp:
                 tmp.write(await doc_file.read())
-                tmp_path = tmp.name
-                shutil.move(
-                    tmp_path,
-                    os.path.join(
-                        KNOWLEDGE_UPLOAD_ROOT_PATH, space_name, doc_file.filename
-                    ),
+            shutil.move(
+                tmp_path,
+                os.path.join(KNOWLEDGE_UPLOAD_ROOT_PATH, space_name, doc_file.filename),
+            )
+            request = KnowledgeDocumentRequest()
+            request.doc_name = doc_name
+            request.doc_type = doc_type
+            request.content = os.path.join(
+                KNOWLEDGE_UPLOAD_ROOT_PATH, space_name, doc_file.filename
+            )
+            return Result.succ(
+                knowledge_space_service.create_knowledge_document(
+                    space=space_name, request=request
                 )
-                request = KnowledgeDocumentRequest()
-                request.doc_name = doc_name
-                request.doc_type = doc_type
-                request.content = os.path.join(
-                    KNOWLEDGE_UPLOAD_ROOT_PATH, space_name, doc_file.filename
-                )
-                return Result.succ(
-                    knowledge_space_service.create_knowledge_document(
-                        space=space_name, request=request
-                    )
-                )
-                # return Result.succ([])
+            )
+            # return Result.succ([])
         return Result.faild(code="E000X", msg=f"doc_file is None")
     except Exception as e:
         return Result.faild(code="E000X", msg=f"document add error {e}")
diff --git a/pilot/server/llmserver.py b/pilot/server/llmserver.py
index 10cdb0299..54e5d0694 100644
--- a/pilot/server/llmserver.py
+++ b/pilot/server/llmserver.py
@@ -6,6 +6,7 @@ import json
 import os
 import sys
 from typing import List
+import platform
 
 import uvicorn
 from fastapi import BackgroundTasks, FastAPI, Request
@@ -89,13 +90,18 @@ class ModelWorker:
             params, model_context = self.llm_chat_adapter.model_adaptation(
                 params, self.ml.model_path, prompt_template=self.ml.prompt_template
             )
+
             for output in self.generate_stream_func(
                 self.model, self.tokenizer, params, DEVICE, CFG.MAX_POSITION_EMBEDDINGS
             ):
                 # Please do not open the output in production!
                 # The gpt4all thread shares stdout with the parent process,
                 # and opening it may affect the frontend output.
-                print("output: ", output)
+                if "windows" in platform.platform().lower():
+                    # Do not print the model output, because it may contain Emoji, there is a problem with the GBK encoding
+                    pass
+                else:
+                    print("output: ", output)
                 # return some model context to dgt-server
                 ret = {"text": output, "error_code": 0, "model_context": model_context}
                 yield json.dumps(ret).encode() + b"\0"
diff --git a/pilot/vector_store/connector.py b/pilot/vector_store/connector.py
index eaa202e72..d95fc4821 100644
--- a/pilot/vector_store/connector.py
+++ b/pilot/vector_store/connector.py
@@ -1,8 +1,8 @@
 from pilot.vector_store.chroma_store import ChromaStore
 
-from pilot.vector_store.weaviate_store import WeaviateStore
+# from pilot.vector_store.weaviate_store import WeaviateStore
 
-connector = {"Chroma": ChromaStore, "Weaviate": WeaviateStore}
+connector = {"Chroma": ChromaStore}
 
 try:
     from pilot.vector_store.milvus_store import MilvusStore
diff --git a/requirements.txt b/requirements.txt
index 55fdbadfb..b9516b038 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-torch==2.0.0
+# torch==2.0.0
 aiohttp==3.8.4
 aiosignal==1.3.1
 async-timeout==4.0.2
@@ -47,7 +47,7 @@ gradio-client==0.0.8
 # llama-index==0.5.27
 
 # TODO move bitsandbytes to optional
-bitsandbytes
+# bitsandbytes
 accelerate>=0.20.3
 
 unstructured==0.6.3
diff --git a/scripts/examples/load_examples.bat b/scripts/examples/load_examples.bat
new file mode 100644
index 000000000..bd16f46f5
--- /dev/null
+++ b/scripts/examples/load_examples.bat
@@ -0,0 +1,69 @@
+@echo off
+setlocal
+
+:: Get script location and set working directory
+for %%i in (%0) do set SCRIPT_LOCATION=%%~dpi
+cd %SCRIPT_LOCATION%
+cd ..
+cd ..
+set WORK_DIR=%CD%
+
+:: Check if sqlite3 is installed
+where sqlite3 >nul 2>nul
+if %ERRORLEVEL% neq 0 (
+    echo sqlite3 not found, please install sqlite3
+    exit /b 1
+)
+
+:: Default file paths
+set DEFAULT_DB_FILE=DB-GPT\pilot\data\default_sqlite.db
+set DEFAULT_SQL_FILE=DB-GPT\docker\examples\sqls\*_sqlite.sql
+set DB_FILE=%WORK_DIR%\pilot\data\default_sqlite.db
+set SQL_FILE=
+
+:argLoop
+if "%1"=="" goto argDone
+if "%1"=="-d" goto setDBFile
+if "%1"=="--db-file" goto setDBFile
+if "%1"=="-f" goto setSQLFile
+if "%1"=="--sql-file" goto setSQLFile
+if "%1"=="-h" goto printUsage
+if "%1"=="--help" goto printUsage
+goto argError
+
+:setDBFile
+shift
+set DB_FILE=%1
+shift
+goto argLoop
+
+:setSQLFile
+shift
+set SQL_FILE=%1
+shift
+goto argLoop
+
+:argError
+echo Invalid argument: %1
+goto printUsage
+
+:printUsage
+echo USAGE: %0 [--db-file sqlite db file] [--sql-file sql file path to run]
+echo   [-d^|--db-file sqlite db file path] default: %DEFAULT_DB_FILE%
+echo   [-f^|--sql-file sqlite file to run] default: %DEFAULT_SQL_FILE%
+echo   [-h^|--help] Usage message
+exit /b 0
+
+:argDone
+
+
+if "%SQL_FILE%"=="" (
+    if not exist "%WORK_DIR%\pilot\data" mkdir "%WORK_DIR%\pilot\data"
+    for %%f in (%WORK_DIR%\docker\examples\sqls\*_sqlite.sql) do (
+        echo execute sql file: %%f
+        sqlite3 "%DB_FILE%" < "%%f"
+    )
+) else (
+    echo Execute SQL file %SQL_FILE%
+    sqlite3 "%DB_FILE%" < "%SQL_FILE%"
+)
diff --git a/scripts/examples/load_examples.sh b/scripts/examples/load_examples.sh
new file mode 100755
index 000000000..0a829bdac
--- /dev/null
+++ b/scripts/examples/load_examples.sh
@@ -0,0 +1,69 @@
+#!/bin/bash
+# Only support SQLite now
+
+SCRIPT_LOCATION=$0
+cd "$(dirname "$SCRIPT_LOCATION")"
+WORK_DIR=$(pwd)
+WORK_DIR="$WORK_DIR/../.."
+
+if ! command -v sqlite3 > /dev/null 2>&1
+then
+  echo "sqlite3 not found, please install sqlite3"
+  exit 1
+fi
+
+DEFAULT_DB_FILE="DB-GPT/pilot/data/default_sqlite.db"
+DEFAULT_SQL_FILE="DB-GPT/docker/examples/sqls/*_sqlite.sql"
+DB_FILE="$WORK_DIR/pilot/data/default_sqlite.db"
+SQL_FILE=""
+
+usage () {
+    echo "USAGE: $0 [--db-file sqlite db file] [--sql-file sql file path to run]"
+    echo "  [-d|--db-file sqlite db file path] default: ${DEFAULT_DB_FILE}"
+    echo "  [-f|--sql-file sqlte file to run] default: ${DEFAULT_SQL_FILE}"
+    echo "  [-h|--help] Usage message"
+}
+
+while [[ $# -gt 0 ]]; do
+    key="$1"
+    case $key in
+        -d|--db-file)
+        DB_FILE="$2"
+        shift # past argument
+        shift # past value
+        ;;
+        -f|--sql-file)
+        SQL_FILE="$2"
+        shift
+        shift
+        ;;
+        -h|--help)
+        help="true"
+        shift
+        ;;
+        *)
+        usage
+        exit 1
+        ;;
+    esac
+done
+
+if [[ $help ]]; then
+    usage
+    exit 0
+fi
+
+if [ -n $SQL_FILE ];then
+    mkdir -p $WORK_DIR/pilot/data
+    for file in $WORK_DIR/docker/examples/sqls/*_sqlite.sql
+    do
+        echo "execute sql file: $file"
+        sqlite3 $DB_FILE  < "$file"
+    done
+
+else
+    echo "Execute SQL file ${SQL_FILE}"
+    sqlite3 $DB_FILE < $SQL_FILE
+fi
+
+
diff --git a/scripts/llama_cpp_install.sh b/scripts/llama_cpp_install.sh
new file mode 100755
index 000000000..685678ae4
--- /dev/null
+++ b/scripts/llama_cpp_install.sh
@@ -0,0 +1,47 @@
+#!/bin/bash
+
+# Get cuda version by torch
+CUDA_VERSION=`python -c "import torch;print(torch.version.cuda.replace('.', '') if torch.cuda.is_available() else '')"`
+
+DEVICE="cpu"
+CPU_OPT="basic"
+
+if [ "${CUDA_VERSION}" = "" ]; then
+    echo "CUDA not support, use cpu version"
+else
+    DEVICE="cu${CUDA_VERSION//./}"
+    echo "CUDA version: $CUDA_VERSION, download path: $DEVICE"
+fi
+
+echo "Checking CPU support:"
+CPU_SUPPORT=$(lscpu)
+
+echo "$CPU_SUPPORT" | grep -q "avx "
+if [ $? -eq 0 ]; then
+    echo "CPU supports AVX."
+    # CPU_OPT="AVX"
+    # TODO AVX will failed on my cpu
+else
+  echo "CPU does not support AVX."
+fi
+
+echo "$CPU_SUPPORT" | grep -q "avx2"
+if [ $? -eq 0 ]; then
+  echo "CPU supports AVX2."
+  CPU_OPT="AVX2"
+else
+  echo "CPU does not support AVX2."
+fi
+
+echo "$CPU_SUPPORT" | grep -q "avx512"
+if [ $? -eq 0 ]; then
+  echo "CPU supports AVX512."
+  CPU_OPT="AVX512"
+else
+  echo "CPU does not support AVX512."
+fi
+
+EXTRA_INDEX_URL="https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/$CPU_OPT/$DEVICE"
+
+echo "install llama-cpp-python from --extra-index-url ${EXTRA_INDEX_URL}"
+python -m pip install llama-cpp-python --force-reinstall --no-cache --prefer-binary --extra-index-url=$EXTRA_INDEX_URL
diff --git a/setup.py b/setup.py
index 5136f4fb8..a9ee31213 100644
--- a/setup.py
+++ b/setup.py
@@ -5,12 +5,19 @@ import platform
 import subprocess
 import os
 from enum import Enum
-
+import urllib.request
+from urllib.parse import urlparse, quote
+import re
+from pip._internal.utils.appdirs import user_cache_dir
+import shutil
+import tempfile
 from setuptools import find_packages
 
-with open("README.md", "r") as fh:
+with open("README.md", mode="r", encoding="utf-8") as fh:
     long_description = fh.read()
 
+BUILD_NO_CACHE = os.getenv("BUILD_NO_CACHE", "false").lower() == "true"
+
 
 def parse_requirements(file_name: str) -> List[str]:
     with open(file_name) as f:
@@ -21,9 +28,70 @@ def parse_requirements(file_name: str) -> List[str]:
         ]
 
 
+def get_latest_version(package_name: str, index_url: str, default_version: str):
+    command = [
+        "python",
+        "-m",
+        "pip",
+        "index",
+        "versions",
+        package_name,
+        "--index-url",
+        index_url,
+    ]
+
+    result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    if result.returncode != 0:
+        print("Error executing command.")
+        print(result.stderr.decode())
+        return default_version
+
+    output = result.stdout.decode()
+    lines = output.split("\n")
+    for line in lines:
+        if "Available versions:" in line:
+            available_versions = line.split(":")[1].strip()
+            latest_version = available_versions.split(",")[0].strip()
+            return latest_version
+
+    return default_version
+
+
+def encode_url(package_url: str) -> str:
+    parsed_url = urlparse(package_url)
+    encoded_path = quote(parsed_url.path)
+    safe_url = parsed_url._replace(path=encoded_path).geturl()
+    return safe_url, parsed_url.path
+
+
+def cache_package(package_url: str, package_name: str, is_windows: bool = False):
+    safe_url, parsed_url = encode_url(package_url)
+    if BUILD_NO_CACHE:
+        return safe_url
+    filename = os.path.basename(parsed_url)
+    cache_dir = os.path.join(user_cache_dir("pip"), "http", "wheels", package_name)
+    os.makedirs(cache_dir, exist_ok=True)
+
+    local_path = os.path.join(cache_dir, filename)
+    if not os.path.exists(local_path):
+        # temp_file, temp_path = tempfile.mkstemp()
+        temp_path = local_path + ".tmp"
+        if os.path.exists(temp_path):
+            os.remove(temp_path)
+        try:
+            print(f"Download {safe_url} to {local_path}")
+            urllib.request.urlretrieve(safe_url, temp_path)
+            shutil.move(temp_path, local_path)
+        finally:
+            if os.path.exists(temp_path):
+                os.remove(temp_path)
+    return f"file:///{local_path}" if is_windows else f"file://{local_path}"
+
+
 class SetupSpec:
     def __init__(self) -> None:
         self.extras: dict = {}
+        self.install_requires: List[str] = []
 
 
 setup_spec = SetupSpec()
@@ -56,22 +124,27 @@ def get_cpu_avx_support() -> Tuple[OSType, AVXType]:
     cpu_avx = AVXType.BASIC
     env_cpu_avx = AVXType.of_type(os.getenv("DBGPT_LLAMA_CPP_AVX"))
 
-    cmds = ["lscpu"]
-    if system == "Windows":
-        cmds = ["coreinfo"]
+    if "windows" in system.lower():
         os_type = OSType.WINDOWS
+        output = "avx2"
+        print("Current platform is windows, use avx2 as default cpu architecture")
     elif system == "Linux":
-        cmds = ["lscpu"]
         os_type = OSType.LINUX
+        result = subprocess.run(
+            ["lscpu"], stdout=subprocess.PIPE, stderr=subprocess.PIPE
+        )
+        output = result.stdout.decode()
     elif system == "Darwin":
-        cmds = ["sysctl", "-a"]
         os_type = OSType.DARWIN
+        result = subprocess.run(
+            ["sysctl", "-a"], stdout=subprocess.PIPE, stderr=subprocess.PIPE
+        )
+        output = result.stdout.decode()
     else:
         os_type = OSType.OTHER
         print("Unsupported OS to get cpu avx, use default")
         return os_type, env_cpu_avx if env_cpu_avx else cpu_avx
-    result = subprocess.run(cmds, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-    output = result.stdout.decode()
+
     if "avx512" in output.lower():
         cpu_avx = AVXType.AVX512
     elif "avx2" in output.lower():
@@ -82,15 +155,97 @@ def get_cpu_avx_support() -> Tuple[OSType, AVXType]:
     return os_type, env_cpu_avx if env_cpu_avx else cpu_avx
 
 
-def get_cuda_version() -> str:
+def get_cuda_version_from_torch():
     try:
         import torch
 
         return torch.version.cuda
+    except:
+        return None
+
+
+def get_cuda_version_from_nvcc():
+    try:
+        output = subprocess.check_output(["nvcc", "--version"])
+        version_line = [
+            line for line in output.decode("utf-8").split("\n") if "release" in line
+        ][0]
+        return version_line.split("release")[-1].strip().split(",")[0]
+    except:
+        return None
+
+
+def get_cuda_version_from_nvidia_smi():
+    try:
+        output = subprocess.check_output(["nvidia-smi"]).decode("utf-8")
+        match = re.search(r"CUDA Version:\s+(\d+\.\d+)", output)
+        if match:
+            return match.group(1)
+        else:
+            return None
+    except:
+        return None
+
+
+def get_cuda_version() -> str:
+    try:
+        cuda_version = get_cuda_version_from_torch()
+        if not cuda_version:
+            cuda_version = get_cuda_version_from_nvcc()
+        if not cuda_version:
+            cuda_version = get_cuda_version_from_nvidia_smi()
+        return cuda_version
     except Exception:
         return None
 
 
+def torch_requires(
+    torch_version: str = "2.0.0",
+    torchvision_version: str = "0.15.1",
+    torchaudio_version: str = "2.0.1",
+):
+    torch_pkgs = []
+    os_type, _ = get_cpu_avx_support()
+    if os_type == OSType.DARWIN:
+        torch_pkgs = [
+            f"torch=={torch_version}",
+            f"torchvision=={torchvision_version}",
+            f"torchaudio=={torchaudio_version}",
+        ]
+    else:
+        cuda_version = get_cuda_version()
+        if not cuda_version:
+            torch_pkgs = [
+                f"torch=={torch_version}",
+                f"torchvision=={torchvision_version}",
+                f"torchaudio=={torchaudio_version}",
+            ]
+        else:
+            supported_versions = ["11.7", "11.8"]
+            if cuda_version not in supported_versions:
+                print(
+                    f"PyTorch version {torch_version} supported cuda version: {supported_versions}, replace to {supported_versions[-1]}"
+                )
+                cuda_version = supported_versions[-1]
+            cuda_version = "cu" + cuda_version.replace(".", "")
+            py_version = "cp310"
+            os_pkg_name = "linux_x86_64" if os_type == OSType.LINUX else "win_amd64"
+            torch_url = f"https://download.pytorch.org/whl/{cuda_version}/torch-{torch_version}+{cuda_version}-{py_version}-{py_version}-{os_pkg_name}.whl"
+            torchvision_url = f"https://download.pytorch.org/whl/{cuda_version}/torchvision-{torchvision_version}+{cuda_version}-{py_version}-{py_version}-{os_pkg_name}.whl"
+            torch_url_cached = cache_package(
+                torch_url, "torch", os_type == OSType.WINDOWS
+            )
+            torchvision_url_cached = cache_package(
+                torchvision_url, "torchvision", os_type == OSType.WINDOWS
+            )
+            torch_pkgs = [
+                f"torch @ {torch_url_cached}",
+                f"torchvision @ {torchvision_url_cached}",
+                f"torchaudio=={torchaudio_version}",
+            ]
+    setup_spec.extras["torch"] = torch_pkgs
+
+
 def llama_cpp_python_cuda_requires():
     cuda_version = get_cuda_version()
     device = "cpu"
@@ -105,12 +260,15 @@ def llama_cpp_python_cuda_requires():
             f"llama_cpp_python_cuda just support in os: {[r._value_ for r in supported_os]}"
         )
         return
+    if cpu_avx == AVXType.AVX2 or AVXType.AVX512:
+        cpu_avx = AVXType.AVX
     cpu_avx = cpu_avx._value_
     base_url = "https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui"
     llama_cpp_version = "0.1.77"
     py_version = "cp310"
     os_pkg_name = "linux_x86_64" if os_type == OSType.LINUX else "win_amd64"
     extra_index_url = f"{base_url}/llama_cpp_python_cuda-{llama_cpp_version}+{device}{cpu_avx}-{py_version}-{py_version}-{os_pkg_name}.whl"
+    extra_index_url, _ = encode_url(extra_index_url)
     print(f"Install llama_cpp_python_cuda from {extra_index_url}")
 
     setup_spec.extras["llama_cpp"].append(f"llama_cpp_python_cuda @ {extra_index_url}")
@@ -124,6 +282,26 @@ def llama_cpp_requires():
     llama_cpp_python_cuda_requires()
 
 
+def quantization_requires():
+    pkgs = []
+    os_type, _ = get_cpu_avx_support()
+    if os_type != OSType.WINDOWS:
+        pkgs = ["bitsandbytes"]
+    else:
+        latest_version = get_latest_version(
+            "bitsandbytes",
+            "https://jllllll.github.io/bitsandbytes-windows-webui",
+            "0.41.1",
+        )
+        extra_index_url = f"https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-{latest_version}-py3-none-win_amd64.whl"
+        local_pkg = cache_package(
+            extra_index_url, "bitsandbytes", os_type == OSType.WINDOWS
+        )
+        pkgs = [f"bitsandbytes @ {local_pkg}"]
+        print(pkgs)
+    setup_spec.extras["quantization"] = pkgs
+
+
 def all_vector_store_requires():
     """
     pip install "db-gpt[vstore]"
@@ -149,24 +327,34 @@ def all_requires():
     setup_spec.extras["all"] = list(requires)
 
 
+def init_install_requires():
+    setup_spec.install_requires += parse_requirements("requirements.txt")
+    setup_spec.install_requires += setup_spec.extras["torch"]
+    setup_spec.install_requires += setup_spec.extras["quantization"]
+    print(f"Install requires: \n{','.join(setup_spec.install_requires)}")
+
+
+torch_requires()
 llama_cpp_requires()
+quantization_requires()
 all_vector_store_requires()
 all_datasource_requires()
 
 # must be last
 all_requires()
+init_install_requires()
 
 setuptools.setup(
     name="db-gpt",
     packages=find_packages(exclude=("tests", "*.tests", "*.tests.*", "examples")),
-    version="0.3.5",
+    version="0.3.6",
     author="csunny",
     author_email="cfqcsunny@gmail.com",
     description="DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and environment."
     " With this solution, you can be assured that there is no risk of data leakage, and your data is 100% private and secure.",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    install_requires=parse_requirements("requirements.txt"),
+    install_requires=setup_spec.install_requires,
     url="https://github.com/eosphoros-ai/DB-GPT",
     license="https://opensource.org/license/mit/",
     python_requires=">=3.10",