doc:refactor install document and application document

2025-09-05 19:11:52 +00:00 · 2023-08-16 23:20:08 +08:00
parent 732fd0e7e7
commit 63af66ccc1
39 changed files with 3031 additions and 458 deletions
--- a/.env.template
+++ b/.env.template
@@ -65,18 +65,6 @@ LOCAL_DB_TYPE=sqlite
 # LOCAL_DB_HOST=127.0.0.1
 # LOCAL_DB_PORT=3306

-### MILVUS
-## MILVUS_ADDR - Milvus remote address (e.g. localhost:19530)
-## MILVUS_USERNAME - username for your Milvus database
-## MILVUS_PASSWORD - password for your Milvus database
-## MILVUS_SECURE - True to enable TLS. (Default: False)
-##   Setting MILVUS_ADDR to a `https://` URL will override this setting.
-## MILVUS_COLLECTION - Milvus collection, change it if you want to start a new memory and retain the old memory.
-# MILVUS_ADDR=localhost:19530
-# MILVUS_USERNAME=
-# MILVUS_PASSWORD=
-# MILVUS_SECURE=
-# MILVUS_COLLECTION=dbgpt

 #*******************************************************************#
 #**                         COMMANDS                              **#
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -1,60 +1,9 @@
-# FAQ
-##### Q1: text2vec-large-chinese not found
-
-##### A1: make sure you have download text2vec-large-chinese embedding model in right way
-
-```tip
-centos:yum install git-lfs
-ubuntu:apt-get install git-lfs -y
-macos:brew install git-lfs
-```
-```bash
-cd models
-git lfs clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
-```
-
-##### Q2: execute `pip install -r requirements.txt` error, found some package cannot find correct version.


-##### A2: change the pip source.
-
-```bash
-# pypi
-$ pip install -r requirements.txt -i https://pypi.python.org/simple
-```
-
-or
-
-```bash
-# tsinghua
-$ pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/
-```
-
-or
-
-```bash
-# aliyun
-$ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/
-```


-##### Q3:Access denied for user 'root@localhost'(using password :NO)

-##### A3: make sure you have installed mysql instance in right way

-Docker:
-```bash
-docker run --name=mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=aa12345678 -dit mysql:latest
-```
-Normal:
-[download mysql instance](https://dev.mysql.com/downloads/mysql/)
-
-##### Q4:When I use openai(MODEL_SERVER=proxyllm) to chat
-<p align="left">
-  <img src="../../assets/faq/proxyerror.png" width="800px" />
-</p>
-
-##### A4: make sure your openapi API_KEY is available

 ##### Q5:When I Chat Data and Chat Meta Data, I found the error
 <p align="left">
@@ -82,48 +31,8 @@ mysql>CREATE TABLE `users` (
 ) ENGINE=InnoDB AUTO_INCREMENT=101 DEFAULT CHARSET=utf8mb4 COMMENT='聊天用户表'
 ```

-##### Q6:How to change Vector DB Type in DB-GPT.
-
-##### A6: Update .env file and set VECTOR_STORE_TYPE.
-DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate vector database.
-If you want to change vector db, Update your .env, set your vector store type, VECTOR_STORE_TYPE=Chroma (now only support Chroma and 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)
-```commandline
-#*******************************************************************#
-#**                  VECTOR STORE SETTINGS                       **#
-#*******************************************************************#
-VECTOR_STORE_TYPE=Chroma
-#MILVUS_URL=127.0.0.1
-#MILVUS_PORT=19530
-#MILVUS_USERNAME
-#MILVUS_PASSWORD
-#MILVUS_SECURE=
-
-#WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network
-```
-##### Q7:When I use vicuna-13b, found some illegal character like this.
-<p align="left">
-  <img src="../../assets/faq/illegal_character.png" width="800px" />
-</p>
-
-##### A7: set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and reboot server.
-
-##### Q8:space add error (pymysql.err.OperationalError) (1054, "Unknown column 'knowledge_space.context' in 'field list'")
-
-
-##### A8: 
-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 server
+
+



--- a/docs/getting_started/application.rst
+++ b/docs/getting_started/application.rst
@@ -0,0 +1,20 @@
+Applications
+==================================
+DB-GPT product is a Web application that you can chat database, chat knowledge, text2dashboard.
+
+.. image:: ./assets/DB-GPT-Product.jpg
+
+
+- Chat DB
+- Chat Knowledge
+- Dashboard
+- Plugins
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Application
+   :name: chatdb
+   :hidden:
+
+   ./application/chatdb/chatdb.md
+   ./application/kbqa/kbqa.md
--- a/docs/getting_started/application/chatdb/chatdb.md
+++ b/docs/getting_started/application/chatdb/chatdb.md
@@ -0,0 +1,19 @@
+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)
+### 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.
+#### 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)
+### 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.
+![db plugins demonstration](../../../../assets/chat_data/chatdata_eg.png)
+
+### 3.ChatDB
+![db plugins demonstration](../../../../assets/chat_data/chatdb_eg.png)
+
+
--- a/docs/getting_started/application/dashboard/dashboard.md
+++ b/docs/getting_started/application/dashboard/dashboard.md
--- a/docs/getting_started/application/kbqa/kbqa.md
+++ b/docs/getting_started/application/kbqa/kbqa.md
@@ -0,0 +1,80 @@
+KBQA
+==================================
+DB-GPT supports a knowledge question-answering module, which aims to create an intelligent expert in the field of databases and provide professional knowledge-based answers to database practitioners.
+
+![chat_knowledge](../../../../assets/chat_knowledge.png)
+
+## KBQA abilities
+
+
+```{admonition} KBQA abilities
+* Knowledge Space.
+* Multi Source Knowledge Source Embedding.
+* Embedding Argument Adjust
+* Chat Knowledge
+* Multi Vector DB
+```
+
+
+## Steps to KBQA In DB-GPT
+
+#### 1.Create Knowledge Space
+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)
+
+
+
+#### 2.Create Knowledge Document
+DB-GPT now support Multi Knowledge Source, including Text, WebUrl, and Document(PDF, Markdown, Word, PPT, HTML and CSV).
+After successfully uploading a document for translation, the backend system will automatically read and split and chunk the document, and then import it into the vector database. Alternatively, you can manually synchronize the document. You can also click on details to view the specific document slicing content.
+##### 2.1 Choose Knowledge Type:
+![document](../../../../assets/kbqa/document.jpg)
+
+##### 2.2 Upload Document:
+![upload](../../../../assets/kbqa/upload.jpg)
+
+
+#### 3.Chat With Knowledge
+![upload](../../../../assets/kbqa/begin_chat.jpg)
+
+#### 4.Adjust Space arguments
+Each knowledge space supports argument customization, including the relevant arguments for vector retrieval and the arguments for knowledge question-answering prompts.
+##### 4.1 Embedding
+Embedding Argument
+![upload](../../../../assets/kbqa/embedding.png)
+
+```{tip} Embedding arguments
+* topk:the top k vectors based on similarity score.
+* recall_score:set a threshold score for the retrieval of similar vectors.
+* recall_type:recall type. 
+* model:A model used to create vector representations of text or other data.
+* chunk_size:The size of the data chunks used in processing.
+* chunk_overlap:The amount of overlap between adjacent data chunks.
+```
+
+##### 4.2 Prompt
+Prompt Argument
+![upload](../../../../assets/kbqa/prompt.png)
+
+```{tip} Prompt arguments
+* scene:A contextual parameter used to define the setting or environment in which the prompt is being used.
+* 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.
+* max_token:The maximum number of tokens or words allowed in a prompt. 
+```
+
+#### 5.Change Vector Database
+
+```{admonition} Vector Store SETTINGS
+#### Chroma
+* VECTOR_STORE_TYPE=Chroma
+#### MILVUS
+* VECTOR_STORE_TYPE=Milvus
+* MILVUS_URL=127.0.0.1
+* MILVUS_PORT=19530
+* MILVUS_USERNAME
+* MILVUS_PASSWORD
+* MILVUS_SECURE=
+
+#### WEAVIATE
+* WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network
+```
--- a/docs/getting_started/faq.rst
+++ b/docs/getting_started/faq.rst
@@ -0,0 +1,22 @@
+FAQ
+==================================
+DB-GPT product is a Web application that you can chat database, chat knowledge, text2dashboard.
+
+.. image:: ./assets/DB-GPT-Product.jpg
+
+
+- deploy
+- llm
+- chatdb
+- kbqa
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Deloy
+   :name: deploy
+   :hidden:
+
+   ./faq/deploy/deploy_faq.md
+   ./faq/llm/llm_faq.md
+   ./faq/chatdb/chatdb_faq.md
+   ./faq/kbqa/kbqa_faq.md
--- a/docs/getting_started/faq/chatdb/chatdb_faq.md
+++ b/docs/getting_started/faq/chatdb/chatdb_faq.md
@@ -0,0 +1,10 @@
+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? 
+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 
+there is another github project for Text-to-SQL fine-tune (https://github.com/eosphoros-ai/DB-GPT-Hub)
--- a/docs/getting_started/faq/deploy/deploy_faq.md
+++ b/docs/getting_started/faq/deploy/deploy_faq.md
@@ -0,0 +1,33 @@
+Installation FAQ
+==================================
+
+
+##### Q1: execute `pip install -r requirements.txt` 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
+```
+
+or
+
+```bash
+# tsinghua
+$ pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple/
+```
+
+or
+
+```bash
+# aliyun
+$ pip install -r requirements.txt -i http://mirrors.aliyun.com/pypi/simple/
+```
+
+##### Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to open database file 
+
+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.
+
--- a/docs/getting_started/faq/kbqa/kbqa_faq.md
+++ b/docs/getting_started/faq/kbqa/kbqa_faq.md
@@ -0,0 +1,58 @@
+KBQA FAQ
+==================================
+
+##### Q1: text2vec-large-chinese not found
+
+make sure you have download text2vec-large-chinese embedding model in right way
+
+```tip
+centos:yum install git-lfs
+ubuntu:apt-get install git-lfs -y
+macos:brew install git-lfs
+```
+```bash
+cd models
+git lfs clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
+```
+
+##### Q2:How to change Vector DB Type in DB-GPT.
+
+Update .env file and set VECTOR_STORE_TYPE.
+
+DB-GPT currently support Chroma(Default), Milvus(>2.1), Weaviate vector database.
+If you want to change vector db, Update your .env, set your vector store type, VECTOR_STORE_TYPE=Chroma (now only support Chroma and 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)
+```commandline
+#*******************************************************************#
+#**                  VECTOR STORE SETTINGS                       **#
+#*******************************************************************#
+VECTOR_STORE_TYPE=Chroma
+#MILVUS_URL=127.0.0.1
+#MILVUS_PORT=19530
+#MILVUS_USERNAME
+#MILVUS_PASSWORD
+#MILVUS_SECURE=
+
+#WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network
+```
+##### Q3:When I use vicuna-13b, found some illegal character like this.
+<p align="left">
+  <img src="../../assets/faq/illegal_character.png" width="800px" />
+</p>
+
+Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE smaller, and reboot server.
+
+##### Q4:space add error (pymysql.err.OperationalError) (1054, "Unknown column 'knowledge_space.context' in 'field list'")
+
+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
--- a/docs/getting_started/faq/llm/llm_faq.md
+++ b/docs/getting_started/faq/llm/llm_faq.md
@@ -0,0 +1,40 @@
+LLM USE FAQ
+==================================
+##### Q1:how to use openai chatgpt service
+change your LLM_MODEL
+````shell
+LLM_MODEL=proxyllm
+````
+
+set your OPENAPI KEY
+````shell
+PROXY_API_KEY={your-openai-sk}
+PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions
+````
+
+ make sure your openapi API_KEY is available
+ 
+##### Q2 how to use MultiGPUs
+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.
+
+##### Q3 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).
--- a/docs/getting_started/install.rst
+++ b/docs/getting_started/install.rst
@@ -0,0 +1,24 @@
+Install
+==================================
+DB-GPT product is a Web application that you can chat database, chat knowledge, text2dashboard.
+
+.. image:: ./assets/DB-GPT-Product.jpg
+
+
+- deploy
+- docker
+- docker_compose
+- environment
+- deploy_faq
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Install
+   :name: deploy
+   :hidden:
+
+   ./install/deploy/deploy.md
+   ./install/docker/docker.md
+   ./install/docker_compose/docker_compose.md
+   ./install/environment/environment.md
+   ./install/faq/deploy_faq.md
--- a/docs/getting_started/install/deploy/deploy.md
+++ b/docs/getting_started/install/deploy/deploy.md
@@ -0,0 +1,144 @@
+# Installation From Source
+
+This tutorial gives you a quick walkthrough about use DB-GPT with you environment and data.
+
+## Installation
+
+To get started, install DB-GPT with the following steps.
+
+### 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:
+
+| 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 |
+| T4       | 16 GB     | Conversation inference possible, noticeable stutter |
+
+if your VRAM Size is not enough, DB-GPT supported 8-bit quantization and 4-bit quantization.
+
+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     |
+
+### 2. Install
+```bash
+git clone https://github.com/eosphoros-ai/DB-GPT.git
+```
+
+We use Sqlite as default database, so there is no need for database 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.
+[How to install Miniconda](https://docs.conda.io/en/latest/miniconda.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
+```bash
+python -m spacy download zh_core_web_sm
+
+```
+
+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
+
+```{tip}
+Notice make sure you have install git-lfs
+centos:yum install git-lfs
+ubuntu:app-get install git-lfs
+macos:brew install git-lfs
+```
+
+```bash
+cd DB-GPT
+mkdir models and cd models
+#### llm model
+git clone https://huggingface.co/lmsys/vicuna-13b-v1.5
+or
+git clone https://huggingface.co/THUDM/chatglm2-6b
+
+#### embedding model
+git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese
+or
+git clone https://huggingface.co/moka-ai/m3e-large
+```
+
+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
+
+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)
+
+```{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. 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.
+
+### 5. 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).
--- a/docs/getting_started/install/docker/docker.md
+++ b/docs/getting_started/install/docker/docker.md
@@ -0,0 +1,87 @@
+Docker Install
+==================================
+
+### Docker (Experimental)
+
+#### 1. Building Docker image
+
+```bash
+$ bash docker/build_all_images.sh
+```
+
+Review images by listing them:
+
+```bash
+$ docker images|grep db-gpt
+```
+
+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
+```
+
+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.
+
+#### 2. Run all in one docker container
+
+**Run with local model**
+
+```bash
+$ docker run --gpus "device=0" -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 db-gpt-allinone \
+    db-gpt-allinone
+```
+
+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 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 \
+    -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 db-gpt-allinone \
+    db-gpt-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.
+
+
+Open http://localhost:5000 with your browser to see the product.
--- a/docs/getting_started/install/docker_compose/docker_compose.md
+++ b/docs/getting_started/install/docker_compose/docker_compose.md
@@ -0,0 +1,26 @@
+Docker Compose
+==================================
+
+#### 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.
--- a/docs/getting_started/install/environment/environment.md
+++ b/docs/getting_started/install/environment/environment.md
@@ -0,0 +1,122 @@
+Env Parameter
+==================================
+
+```{admonition} LLM MODEL Config
+LLM Model Name, see /pilot/configs/model_config.LLM_MODEL_CONFIG
+* LLM_MODEL=vicuna-13b 
+
+MODEL_SERVER_ADDRESS
+* MODEL_SERVER=http://127.0.0.1:8000 
+LIMIT_MODEL_CONCURRENCY
+
+* LIMIT_MODEL_CONCURRENCY=5 
+
+MAX_POSITION_EMBEDDINGS
+
+* MAX_POSITION_EMBEDDINGS=4096 
+
+QUANTIZE_QLORA
+
+* QUANTIZE_QLORA=True
+
+QUANTIZE_8bit
+
+* QUANTIZE_8bit=True 
+```
+
+```{admonition} LLM PROXY Settings
+OPENAI Key
+
+* PROXY_API_KEY={your-openai-sk}
+* PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions
+
+from https://bard.google.com/     f12-> application-> __Secure-1PSID
+
+* BARD_PROXY_API_KEY={your-bard-token}
+```
+
+```{admonition} DATABASE SETTINGS
+### SQLite database (Current default database)
+* LOCAL_DB_PATH=data/default_sqlite.db
+* LOCAL_DB_TYPE=sqlite # Database Type default:sqlite
+
+### MYSQL database
+* LOCAL_DB_TYPE=mysql
+* LOCAL_DB_USER=root
+* LOCAL_DB_PASSWORD=aa12345678
+* LOCAL_DB_HOST=127.0.0.1
+* LOCAL_DB_PORT=3306
+```
+
+```{admonition} EMBEDDING SETTINGS
+EMBEDDING MODEL Name, see /pilot/configs/model_config.LLM_MODEL_CONFIG
+* EMBEDDING_MODEL=text2vec 
+
+Embedding Chunk size, default 500
+
+* KNOWLEDGE_CHUNK_SIZE=500 
+
+Embedding Chunk Overlap, default 100
+* KNOWLEDGE_CHUNK_OVERLAP=100
+
+embeding recall top k,5
+
+* KNOWLEDGE_SEARCH_TOP_SIZE=5 
+
+embeding recall max token ,2000
+
+* KNOWLEDGE_SEARCH_MAX_TOKEN=5 
+```
+
+```{admonition} Vector Store SETTINGS
+#### Chroma
+* VECTOR_STORE_TYPE=Chroma
+#### MILVUS
+* VECTOR_STORE_TYPE=Milvus
+* MILVUS_URL=127.0.0.1
+* MILVUS_PORT=19530
+* MILVUS_USERNAME
+* MILVUS_PASSWORD
+* MILVUS_SECURE=
+
+#### WEAVIATE
+* VECTOR_STORE_TYPE=Weaviate
+* WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network
+```
+
+```{admonition} Vector Store SETTINGS
+#### Chroma
+* VECTOR_STORE_TYPE=Chroma
+#### MILVUS
+* VECTOR_STORE_TYPE=Milvus
+* MILVUS_URL=127.0.0.1
+* MILVUS_PORT=19530
+* MILVUS_USERNAME
+* MILVUS_PASSWORD
+* MILVUS_SECURE=
+
+#### WEAVIATE
+* WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network
+```
+
+```{admonition} Multi-GPU Setting
+See https://developer.nvidia.com/blog/cuda-pro-tip-control-gpu-visibility-cuda_visible_devices/
+If CUDA_VISIBLE_DEVICES is not configured, all available gpus will be used
+
+* CUDA_VISIBLE_DEVICES=0
+
+Optionally, you can also specify the gpu ID to use before the starting command
+
+* CUDA_VISIBLE_DEVICES=3,4,5,6
+
+You can configure the maximum memory used by each GPU.
+
+* MAX_GPU_MEMORY=16Gib
+```
+
+```{admonition} Other Setting
+#### Language Settings(influence prompt language)
+* LANGUAGE=en
+* LANGUAGE=zh
+```
+
--- a/docs/getting_started/installation.md
+++ b/docs/getting_started/installation.md
@@ -1,4 +1,4 @@
-# Installation
+# Python SDK
 DB-GPT provides a third-party Python API package that you can integrate into your own code.

 ### Installation from Pip
--- a/docs/getting_started/tutorials.md
+++ b/docs/getting_started/tutorials.md
@@ -6,19 +6,18 @@ This is a collection of DB-GPT tutorials on Medium.
 DB-GPT is divided into several functions, including chat with knowledge base, execute SQL, chat with database, and execute plugins.

 ### Introduction
+
+#### youtube
 [What is DB-GPT](https://www.youtube.com/watch?v=QszhVJerc0I)

-### Knowledge
+[How to deploy DB-GPT step by step](https://www.youtube.com/watch?v=OJGU4fQCqPs)

-[How to Create your own knowledge repository](https://db-gpt.readthedocs.io/en/latest/modules/knownledge.html)

-![Add new Knowledge demonstration](../../assets/new_knownledge.gif)
+#### bilibili
+[What is DB-GPT](https://www.bilibili.com/video/BV1SM4y1a7Nj/?spm_id_from=333.788&vd_source=7792e22c03b7da3c556a450eb42c8a0f)
+
+[How to deploy DB-GPT step by step](https://www.bilibili.com/video/BV1mu411Y7ve/?spm_id_from=pageDriver&vd_source=7792e22c03b7da3c556a450eb42c8a0f)
+

-### SQL Generation
-![sql generation demonstration](../../assets/demo_en.gif)

-### SQL Execute
-![sql execute demonstration](../../assets/auto_sql_en.gif)

-### Plugins
-![db plugins demonstration](../../assets/dashboard.png)
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -47,10 +47,12 @@ Getting Started
   :caption: Getting Started
   :hidden:

-   getting_started/getting_started.md
+   getting_started/install.rst
+   getting_started/application.md
   getting_started/installation.md
   getting_started/concepts.md
   getting_started/tutorials.md
+   getting_started/faq.rst


 Modules
--- a/docs/locales/zh_CN/LC_MESSAGES/faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/faq.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.0\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-08-10 16:40+0800\n"
+"POT-Creation-Date: 2023-08-16 18:31+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,135 +19,123 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"

-#: ../../faq.md:1 c4b5b298c447462ba7aaffd954549def
-msgid "FAQ"
-msgstr "FAQ"
-
-#: ../../faq.md:2 533e388b78594244aa0acbf2b0263f60
-msgid "Q1: text2vec-large-chinese not found"
-msgstr "Q1: text2vec-large-chinese not found"
-
-#: ../../faq.md:4 e1c7e28c60f24f7a983f30ee43bad32e
-msgid ""
-"A1: make sure you have download text2vec-large-chinese embedding model in"
-" right way"
-msgstr "按照正确的姿势下载text2vec-large-chinese模型"
-
-#: ../../faq.md:16 7cbfd6629267423a879735dd0dbba24e
-msgid ""
-"Q2: execute `pip install -r requirements.txt` error, found some package "
-"cannot find correct version."
-msgstr "执行`pip install -r requirements.txt`报错"
-
-#: ../../faq.md:19 a2bedf7cf2984d35bc9e3edffd9cb991
-msgid "A2: change the pip source."
-msgstr "修改pip源"
-
-#: ../../faq.md:26 ../../faq.md:33 307385dc581841148bad0dfa95541722
-#: 55a9cd0665e74b47bac71e652a80c8bd
-msgid "or"
-msgstr "或"
-
-#: ../../faq.md:41 8ec34a9f22744313825bd53e90e86695
-msgid "Q3:Access denied for user 'root@localhost'(using password :NO)"
-msgstr "或"
-
-#: ../../faq.md:43 85d67326827145859f5af707c96c852f
-msgid "A3: make sure you have installed mysql instance in right way"
-msgstr "按照正确姿势安装mysql"
-
-#: ../../faq.md:45 c51cffb2777c49c6b15485e6151f8b70
-msgid "Docker:"
-msgstr "Docker:"
-
-#: ../../faq.md:49 09f16d57dbeb4f34a1274b2ac52aacf5
-msgid "Normal: [download mysql instance](https://dev.mysql.com/downloads/mysql/)"
-msgstr "[download mysql instance](https://dev.mysql.com/downloads/mysql/)"
-
-#: ../../faq.md:52 ab730de8f02f4cb895510a52ca90c02f
-msgid "Q4:When I use openai(MODEL_SERVER=proxyllm) to chat"
-msgstr "使用openai-chatgpt模型时(MODEL_SERVER=proxyllm)"
-
-#: ../../faq.md:57 8308cf21e0654e5798c9a2638b8565ec
-msgid "A4: make sure your openapi API_KEY is available"
-msgstr "确认openapi API_KEY是否可用"
-
-#: ../../faq.md:59 ff6361a5438943c2b9e613aa9e2322bf
+#: ../../faq.md:8 ded9afcc91594bce8950aa688058a5b6
 msgid "Q5:When I Chat Data and Chat Meta Data, I found the error"
 msgstr "Chat Data and Chat Meta Data报如下错"

-#: ../../faq.md:64 1a89acc3bf074b77b9e44d20f9b9c3cb
+#: ../../faq.md:13 25237221f65c47a2b62f5afbe637d6e7
 msgid "A5: you have not create your database and table"
 msgstr "需要创建自己的数据库"

-#: ../../faq.md:65 e7d63e2aa0d24c5d90dd1865753c7d52
+#: ../../faq.md:14 8c9024f1f4d7414499587e3bdf7d56d1
 msgid "1.create your database."
 msgstr "1.先创建数据库"

-#: ../../faq.md:71 8b0de08106a144b98538b12bc671cbb2
+#: ../../faq.md:20 afc7299d3b4e4d98b17fd6157d440970
 msgid "2.create table {$your_table} and insert your data.  eg:"
 msgstr "然后创建数据表，模拟数据"

-#: ../../faq.md:85 abb226843354448a925de4deb52db555
-msgid "Q6:How to change Vector DB Type in DB-GPT."
-msgstr ""
+#~ msgid "FAQ"
+#~ msgstr "FAQ"

-#: ../../faq.md:87 cc80165e2f6b46a28e53359ea7b3e0af
-msgid "A6: Update .env file and set VECTOR_STORE_TYPE."
-msgstr ""
+#~ msgid "Q1: text2vec-large-chinese not found"
+#~ msgstr "Q1: text2vec-large-chinese not found"

-#: ../../faq.md:88 d30fa1e2fdd94e00a72ef247af41fb43
-#, fuzzy
-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 "
-"vector store type, VECTOR_STORE_TYPE=Chroma (now only support Chroma and "
-"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 ""
-"DB-GPT当前支持Chroma(默认)，如果你想替换向量数据库，需要更新.env文件，VECTOR_STORE_TYPE=Chroma (now"
-" only support Chroma, Milvus Weaviate, if you set Milvus(>2.1), please "
-"set MILVUS_URL and "
-"MILVUS_PORT)。如果当前支持向量数据库无法满足你的需求，可以集成使用自己的向量数据库。[怎样集成](https://db-"
-"gpt.readthedocs.io/en/latest/modules/vector.html)"
+#~ msgid ""
+#~ "A1: make sure you have download "
+#~ "text2vec-large-chinese embedding model in"
+#~ " right way"
+#~ msgstr "按照正确的姿势下载text2vec-large-chinese模型"

-#: ../../faq.md:104 bed01b4f96e04f61aa536cf615254c87
-#, fuzzy
-msgid "Q7:When I use vicuna-13b, found some illegal character like this."
-msgstr "使用vicuna-13b，知识库问答出现乱码"
+#~ msgid ""
+#~ "Q2: execute `pip install -r "
+#~ "requirements.txt` error, found some package"
+#~ " cannot find correct version."
+#~ msgstr "执行`pip install -r requirements.txt`报错"

-#: ../../faq.md:109 1ea68292da6d46a89944212948d1719d
-#, fuzzy
-msgid ""
-"A7: set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE "
-"smaller, and reboot server."
-msgstr "将KNOWLEDGE_SEARCH_TOP_SIZE和KNOWLEDGE_CHUNK_SIZE设置小点然后重启"
+#~ msgid "A2: change the pip source."
+#~ msgstr "修改pip源"

-#: ../../faq.md:111 256b58e3749a4a17acbc456c71581597
-msgid ""
-"Q8:space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
-" 'knowledge_space.context' in 'field list'\")"
-msgstr "Q8:space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
-" 'knowledge_space.context' in 'field list'\")"
+#~ msgid "or"
+#~ msgstr "或"

-#: ../../faq.md:114 febe9ec0c51b4e10b3a2bb0aece94e7c
-msgid "A8:"
-msgstr "A8:"
+#~ msgid "Q3:Access denied for user 'root@localhost'(using password :NO)"
+#~ msgstr "或"

-#: ../../faq.md:115 d713a368fe8147feb6db8f89938f3dcd
-msgid "1.shutdown dbgpt_server(ctrl c)"
-msgstr ""
+#~ msgid "A3: make sure you have installed mysql instance in right way"
+#~ msgstr "按照正确姿势安装mysql"

-#: ../../faq.md:117 4c6ad307caff4b57bb6c7085cc42fb64
-msgid "2.add column context for table knowledge_space"
-msgstr "2.add column context for table knowledge_space"
+#~ msgid "Docker:"
+#~ msgstr "Docker:"

-#: ../../faq.md:121 a3f955c090be4163bdb934eb32c25fd5
-msgid "3.execute sql ddl"
-msgstr "3.执行 sql ddl"
+#~ msgid ""
+#~ "Normal: [download mysql "
+#~ "instance](https://dev.mysql.com/downloads/mysql/)"
+#~ msgstr "[download mysql instance](https://dev.mysql.com/downloads/mysql/)"

-#: ../../faq.md:126 1861332d1c0342e2b968732fba55fa54
-msgid "4.restart dbgpt server"
-msgstr "4.重启 dbgpt server"
+#~ msgid "Q4:When I use openai(MODEL_SERVER=proxyllm) to chat"
+#~ msgstr "使用openai-chatgpt模型时(MODEL_SERVER=proxyllm)"
+
+#~ msgid "A4: make sure your openapi API_KEY is available"
+#~ msgstr "确认openapi API_KEY是否可用"
+
+#~ msgid "Q6:How to change Vector DB Type in DB-GPT."
+#~ msgstr ""
+
+#~ msgid "A6: Update .env file and set VECTOR_STORE_TYPE."
+#~ msgstr ""
+
+#~ 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 vector "
+#~ "store type, VECTOR_STORE_TYPE=Chroma (now only"
+#~ " support Chroma and 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 ""
+#~ "DB-"
+#~ "GPT当前支持Chroma(默认)，如果你想替换向量数据库，需要更新.env文件，VECTOR_STORE_TYPE=Chroma "
+#~ "(now only support Chroma, Milvus "
+#~ "Weaviate, if you set Milvus(>2.1), "
+#~ "please set MILVUS_URL and "
+#~ "MILVUS_PORT)。如果当前支持向量数据库无法满足你的需求，可以集成使用自己的向量数据库。[怎样集成](https://db-"
+#~ "gpt.readthedocs.io/en/latest/modules/vector.html)"
+
+#~ msgid "Q7:When I use vicuna-13b, found some illegal character like this."
+#~ msgstr "使用vicuna-13b，知识库问答出现乱码"
+
+#~ msgid ""
+#~ "A7: set KNOWLEDGE_SEARCH_TOP_SIZE smaller or"
+#~ " set KNOWLEDGE_CHUNK_SIZE smaller, and "
+#~ "reboot server."
+#~ msgstr "将KNOWLEDGE_SEARCH_TOP_SIZE和KNOWLEDGE_CHUNK_SIZE设置小点然后重启"
+
+#~ msgid ""
+#~ "Q8:space add error (pymysql.err.OperationalError)"
+#~ " (1054, \"Unknown column "
+#~ "'knowledge_space.context' in 'field list'\")"
+#~ msgstr ""
+#~ "Q8:space add error (pymysql.err.OperationalError)"
+#~ " (1054, \"Unknown column "
+#~ "'knowledge_space.context' in 'field list'\")"
+
+#~ msgid "A8:"
+#~ msgstr "A8:"
+
+#~ msgid "1.shutdown dbgpt_server(ctrl c)"
+#~ msgstr ""
+
+#~ msgid "2.add column context for table knowledge_space"
+#~ msgstr "2.add column context for table knowledge_space"
+
+#~ msgid "3.execute sql ddl"
+#~ msgstr "3.执行 sql ddl"
+
+#~ msgid "4.restart dbgpt server"
+#~ msgstr "4.重启 dbgpt server"

--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/application.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/application.po
@@ -0,0 +1,51 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/application.rst:13
+msgid "Application"
+msgstr ""
+
+#: ../../getting_started/application.rst:2 4de9609785bc406aa6f3965f057f90d8
+msgid "Applications"
+msgstr ""
+
+#: ../../getting_started/application.rst:3 1ef4f6d81f7c4a2f9ee330fc890017dd
+msgid ""
+"DB-GPT product is a Web application that you can chat database, chat "
+"knowledge, text2dashboard."
+msgstr ""
+
+#: ../../getting_started/application.rst:8 0451376d435b47bfa7b3f81c87683610
+msgid "Chat DB"
+msgstr ""
+
+#: ../../getting_started/application.rst:9 4b1372dd4ae34881891c1dbcd83b92bf
+msgid "Chat Knowledge"
+msgstr ""
+
+#: ../../getting_started/application.rst:10 d8807a357f1144ccba933338cd0f619a
+msgid "Dashboard"
+msgstr ""
+
+#: ../../getting_started/application.rst:11 f6a5806d4f0d4271bb0964935d9c2ff3
+msgid "Plugins"
+msgstr ""
+
--- 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
@@ -0,0 +1,118 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/application/chatdb/chatdb.md:1
+#: e3984d7305214fc59fc356bd2e382543
+msgid "ChatData & ChatDB"
+msgstr "ChatData & ChatDB"
+
+#: ../../getting_started/application/chatdb/chatdb.md:3
+#: e74daab738984be990aaa21ab5af7046
+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)"
+
+#: ../../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
+msgid "db plugins demonstration"
+msgstr "db plugins demonstration"
+
+#: ../../getting_started/application/chatdb/chatdb.md:4
+#: a760078b833e434681da72c87342083f
+msgid "1.Choose Datasource"
+msgstr "1.Choose Datasource"
+
+#: ../../getting_started/application/chatdb/chatdb.md:5
+#: b68ac469c7d34026b1cb8b587a446737
+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
+msgid "1.1 Datasource management"
+msgstr "1.1 Datasource management"
+
+#: ../../getting_started/application/chatdb/chatdb.md:7
+#: af7b5d2f6c9b4666a3466fed05968258
+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
+msgid "1.2 Connection management"
+msgstr "1.2 Connection管理"
+
+#: ../../getting_started/application/chatdb/chatdb.md:9
+#: 109a8c9da05d4ec7a80ae1665b8d48bb
+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
+msgid "1.3 Add Datasource"
+msgstr "1.3 添加Datasource"
+
+#: ../../getting_started/application/chatdb/chatdb.md:11
+#: a25dec01f4824bfe88cc801c93bb3e3b
+msgid ""
+"![db plugins "
+"demonstration](../../../../assets/chat_data/add_datasource.png)"
+msgstr "![db plugins "
+"demonstration](../../../../assets/chat_data/add_datasource.png)"
+
+#: ../../getting_started/application/chatdb/chatdb.md:12
+#: 4751d6d3744148cab130a901594f673a
+msgid "2.ChatData"
+msgstr "2.ChatData"
+
+#: ../../getting_started/application/chatdb/chatdb.md:13
+#: bad82b572ba34ffb8669f0f8ff9b0a05
+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 "
+"demonstration](../../../../assets/chat_data/chatdata_eg.png)"
+
+#: ../../getting_started/application/chatdb/chatdb.md:16
+#: 0bf9c5a2f3764b36abc82102c53d3cd4
+msgid "3.ChatDB"
+msgstr "3.ChatDB"
+
+#: ../../getting_started/application/chatdb/chatdb.md:17
+#: f06e7583c2484a959c1681b1db0acfaa
+msgid "![db plugins demonstration](../../../../assets/chat_data/chatdb_eg.png)"
+msgstr "![db plugins demonstration](../../../../assets/chat_data/chatdb_eg.png)"
+
--- 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
@@ -0,0 +1,21 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
--- 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
@@ -0,0 +1,318 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/application/kbqa/kbqa.md:1
+#: a06d9329c98f44ffaaf6fc09ba53d97e
+msgid "KBQA"
+msgstr ""
+
+#: ../../getting_started/application/kbqa/kbqa.md:3
+#: bb6943c115754b1fafb7467313100753
+msgid ""
+"DB-GPT supports a knowledge question-answering module, which aims to "
+"create an intelligent expert in the field of databases and provide "
+"professional knowledge-based answers to database practitioners."
+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
+msgid "![chat_knowledge](../../../../assets/chat_knowledge.png)"
+msgstr "![chat_knowledge](../../../../assets/chat_knowledge.png)"
+
+#: ../../getting_started/application/kbqa/kbqa.md:5
+#: f4db3a8d04634059a74be1b2b3c948ef
+msgid "chat_knowledge"
+msgstr "chat_knowledge"
+
+#: ../../getting_started/application/kbqa/kbqa.md:7
+#: ../../getting_started/application/kbqa/kbqa.md:10
+#: 86856cce95c845eb83ed44d8713b0ef6 f787e9ad9f7444a5923fe3476ab4d287
+msgid "KBQA abilities"
+msgstr "KBQA现有能力"
+
+#: ../../getting_started/application/kbqa/kbqa.md:11
+#: df1c88b28a2d46b2b3f5fae1caec000e
+msgid "Knowledge Space."
+msgstr "知识空间"
+
+#: ../../getting_started/application/kbqa/kbqa.md:12
+#: 7f6c99d0c1394f08b246daa1343c24b2
+msgid "Multi Source Knowledge Source Embedding."
+msgstr "多数据源Embedding"
+
+#: ../../getting_started/application/kbqa/kbqa.md:13
+#: 3c1274c3e65f426bbee219227f681e27
+msgid "Embedding Argument Adjust"
+msgstr "Embedding参数自定义"
+
+#: ../../getting_started/application/kbqa/kbqa.md:14
+#: 52fb29f7ee8745e6b78145f5be23b8ce
+msgid "Chat Knowledge"
+msgstr "知识问答"
+
+#: ../../getting_started/application/kbqa/kbqa.md:15
+#: 83e427c46d844c6a9bb5954342ae7c42
+msgid "Multi Vector DB"
+msgstr "多向量数据库管理"
+
+#: ../../getting_started/application/kbqa/kbqa.md:19
+#: 07c1e189d0f84db69b6a51cf23ede7dc
+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
+msgid "1.Create Knowledge Space"
+msgstr "1.首先创建知识空间"
+
+#: ../../getting_started/application/kbqa/kbqa.md:22
+#: 5c92d41df2b04374a6c7ce40308f738b
+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
+msgid "create_space"
+msgstr "create_space"
+
+#: ../../getting_started/application/kbqa/kbqa.md:27
+#: c98434920955416ca5273892f9086bc5
+msgid "2.Create Knowledge Document"
+msgstr "2.上传知识"
+
+#: ../../getting_started/application/kbqa/kbqa.md:28
+#: d63f798e8270455587d1afd98c72e995
+msgid ""
+"DB-GPT now support Multi Knowledge Source, including Text, WebUrl, and "
+"Document(PDF, Markdown, Word, PPT, HTML and CSV). After successfully "
+"uploading a document for translation, the backend system will "
+"automatically read and split and chunk the document, and then import it "
+"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"
+
+#: ../../getting_started/application/kbqa/kbqa.md:30
+#: 18becde7bdc34e9cb7017ff7711d1634
+msgid "2.1 Choose Knowledge Type:"
+msgstr "2.1 选择知识类型"
+
+#: ../../getting_started/application/kbqa/kbqa.md:31
+#: 755dfd18812249e591647d233ec9253b
+msgid "![document](../../../../assets/kbqa/document.jpg)"
+msgstr "![document](../../../../assets/kbqa/document.jpg)"
+
+#: ../../getting_started/application/kbqa/kbqa.md:31
+#: 10faa2236fa84dc284f7ce6d68acc43c
+msgid "document"
+msgstr "document"
+
+#: ../../getting_started/application/kbqa/kbqa.md:33
+#: 04449bfa78b14d1cb42c1259f67531d1
+msgid "2.2 Upload Document:"
+msgstr "2.2上传文档"
+
+#: ../../getting_started/application/kbqa/kbqa.md:34
+#: de14e2d7a6c54623bfc8af2fc6e20c62
+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
+msgid "upload"
+msgstr "upload"
+
+#: ../../getting_started/application/kbqa/kbqa.md:37
+#: 77d936d2502f41feb2721da86cc1ebb1
+msgid "3.Chat With Knowledge"
+msgstr "3.知识问答"
+
+#: ../../getting_started/application/kbqa/kbqa.md:38
+#: ae72c3236e564949b142a945f3474425
+msgid "![upload](../../../../assets/kbqa/begin_chat.jpg)"
+msgstr "![upload](../../../../assets/kbqa/begin_chat.jpg)"
+
+#: ../../getting_started/application/kbqa/kbqa.md:40
+#: b9d701985d404a9196bb896718f41e36
+msgid "4.Adjust Space arguments"
+msgstr "4.调整知识参数"
+
+#: ../../getting_started/application/kbqa/kbqa.md:41
+#: 6155bbf401ef44ea8d761c83ae5ceb9a
+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
+msgid "4.1 Embedding"
+msgstr "4.1 Embedding"
+
+#: ../../getting_started/application/kbqa/kbqa.md:43
+#: 0ca2398756924828a904921456b863b5
+msgid "Embedding Argument ![upload](../../../../assets/kbqa/embedding.png)"
+msgstr "Embedding Argument ![upload](../../../../assets/kbqa/embedding.png)"
+
+#: ../../getting_started/application/kbqa/kbqa.md:47
+#: e8b3e973e3b940e4bbf3180b7d6057ec
+msgid "Embedding arguments"
+msgstr "Embedding arguments"
+
+#: ../../getting_started/application/kbqa/kbqa.md:48
+#: 1cff4790d546455abeca725ae8b53c0d
+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
+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
+msgid "recall_type:recall type."
+msgstr "recall_type:召回类型"
+
+#: ../../getting_started/application/kbqa/kbqa.md:51
+#: 7c48de3186a14fcf96ee2bc6d715bd4c
+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
+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
+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
+msgid "4.2 Prompt"
+msgstr "4.2 Prompt"
+
+#: ../../getting_started/application/kbqa/kbqa.md:56
+#: 00f0bddcd9174b7a84a25b7fe6d286e9
+msgid "Prompt Argument ![upload](../../../../assets/kbqa/prompt.png)"
+msgstr "Prompt Argument ![upload](../../../../assets/kbqa/prompt.png)"
+
+#: ../../getting_started/application/kbqa/kbqa.md:60
+#: d5ff2b76a04949708b3c9050db647927
+msgid "Prompt arguments"
+msgstr "Prompt arguments"
+
+#: ../../getting_started/application/kbqa/kbqa.md:61
+#: 817a8744378546a2b049f44793b4554b
+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
+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。"
+
+#: ../../getting_started/application/kbqa/kbqa.md:63
+#: a34cd8248e6b44228868c2a02e12466f
+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
+msgid "5.Change Vector Database"
+msgstr "5.Change Vector Database"
+
+#: ../../getting_started/application/kbqa/kbqa.md:67
+#: 680bfb451eb040e0aa55f8faa12bb75a
+msgid "Vector Store SETTINGS"
+msgstr "Vector Store SETTINGS"
+
+#: ../../getting_started/application/kbqa/kbqa.md:68
+#: 32820ae6807840119a786e92124ad209
+msgid "Chroma"
+msgstr "Chroma"
+
+#: ../../getting_started/application/kbqa/kbqa.md:69
+#: 7573aa05bc914fc2993b2531475b3b99
+msgid "VECTOR_STORE_TYPE=Chroma"
+msgstr "VECTOR_STORE_TYPE=Chroma"
+
+#: ../../getting_started/application/kbqa/kbqa.md:70
+#: cc2c5521ba6e417eb5b3cf96375c2a08
+msgid "MILVUS"
+msgstr "MILVUS"
+
+#: ../../getting_started/application/kbqa/kbqa.md:71
+#: fc5dfa54c8a24b069e2709c309e43faa
+msgid "VECTOR_STORE_TYPE=Milvus"
+msgstr "VECTOR_STORE_TYPE=Milvus"
+
+#: ../../getting_started/application/kbqa/kbqa.md:72
+#: 8661384f0c4a40a0b79fad94bbee1792
+msgid "MILVUS_URL=127.0.0.1"
+msgstr "MILVUS_URL=127.0.0.1"
+
+#: ../../getting_started/application/kbqa/kbqa.md:73
+#: 2035d343d34f47fa9fa84eb841afa2f8
+msgid "MILVUS_PORT=19530"
+msgstr "MILVUS_PORT=19530"
+
+#: ../../getting_started/application/kbqa/kbqa.md:74
+#: e0d8bd8d1dfb425bb50d5c8bf4a134ab
+msgid "MILVUS_USERNAME"
+msgstr "MILVUS_USERNAME"
+
+#: ../../getting_started/application/kbqa/kbqa.md:75
+#: dec547e6b4354c71857fa7c92c08bfa6
+msgid "MILVUS_PASSWORD"
+msgstr "MILVUS_PASSWORD"
+
+#: ../../getting_started/application/kbqa/kbqa.md:76
+#: 9ad3f325f79e49309bd3419f48015e90
+msgid "MILVUS_SECURE="
+msgstr "MILVUS_SECURE="
+
+#: ../../getting_started/application/kbqa/kbqa.md:78
+#: f6e15bf479da496fbcdf7621bad4dda8
+msgid "WEAVIATE"
+msgstr "WEAVIATE"
+
+#: ../../getting_started/application/kbqa/kbqa.md:79
+#: f7838d5de0a9452486adceb3a26369ee
+msgid "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network"
+msgstr "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.networkc"
+
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/faq.po
@@ -0,0 +1,51 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/faq.rst:13
+msgid "Deloy"
+msgstr "Deloy"
+
+#: ../../getting_started/faq.rst:2 136e86216b564bcb91709d97ae03013c
+msgid "FAQ"
+msgstr "FAQ"
+
+#: ../../getting_started/faq.rst:3 9350e190f83648248a4e53a4703529a0
+msgid ""
+"DB-GPT product is a Web application that you can chat database, chat "
+"knowledge, text2dashboard."
+msgstr ""
+
+#: ../../getting_started/faq.rst:8 c4d7887a869f48ddb1819a5df9206005
+msgid "deploy"
+msgstr "deploy"
+
+#: ../../getting_started/faq.rst:9 3859638a380043dfa466d6f9c593ff14
+msgid "llm"
+msgstr "llm"
+
+#: ../../getting_started/faq.rst:10 2039dce8389d4f9fb8fb7a8afa393809
+msgid "chatdb"
+msgstr "chatdb"
+
+#: ../../getting_started/faq.rst:11 24a115044f984a71a83dea6000a98de8
+msgid "kbqa"
+msgstr "kbqa"
+
--- 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
@@ -0,0 +1,61 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:1
+#: ffd1abb6b8f34e53a8ed83ede845b141
+msgid "Chat DB FAQ"
+msgstr ""
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:3
+#: 2467f6603ab341bbb1ce17f75dc06e5e
+msgid "Q1: What difference between ChatData and ChatDB"
+msgstr ""
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:4
+#: 6e47803e92064e379a1bb74e2b3d347a
+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 ""
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:6
+#: fa3eef15697f43db963f6c875e85323b
+msgid "Q2: The suitable llm model currently supported for text-to-SQL is?"
+msgstr ""
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:7
+#: 47f36a0a48c045269bcf790873d55f8c
+msgid "Now vicunna-13b-1.5 and llama2-70b is more suitable for text-to-SQL."
+msgstr ""
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:9
+#: 9f5ef9a05fac4eb3b27875171ec4e763
+msgid "Q3: How to fine-tune Text-to-SQL in DB-GPT"
+msgstr ""
+
+#: ../../getting_started/faq/chatdb/chatdb_faq.md:10
+#: c9b6f6e969e04805a59d9ccabc03c0b8
+msgid ""
+"there is another github project for Text-to-SQL fine-tune "
+"(https://github.com/eosphoros-ai/DB-GPT-Hub)"
+msgstr ""
+
--- 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
@@ -0,0 +1,86 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/faq/deploy/deploy_faq.md:1
+#: 6aa73265a43d4e6ea287e6265ef4efe5
+msgid "Installation FAQ"
+msgstr "Installation FAQ"
+
+#: ../../getting_started/faq/deploy/deploy_faq.md:5
+#: 4efe241d5e724db5ab22548cfb88f8b6
+msgid ""
+"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
+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
+msgid "or"
+msgstr "或者"
+
+#: ../../getting_started/faq/deploy/deploy_faq.md:27
+#: 87797a5dafef47c8884f6f1be9a1fbd2
+msgid ""
+"Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to"
+" open database file"
+msgstr "Q2: sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) unable to"
+" open database file"
+
+#: ../../getting_started/faq/deploy/deploy_faq.md:29
+#: bc96b22e201c47ec999c8d98227a956d
+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
+msgid "Q3: The model keeps getting killed."
+msgstr "Q3: The model keeps getting killed."
+
+#: ../../getting_started/faq/deploy/deploy_faq.md:32
+#: b072386586a64b2289c0fcdf6857b2b7
+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"
+
+#~ msgid ""
+#~ "Q2: When use Mysql, Access denied "
+#~ "for user 'root@localhost'(using password :NO)"
+#~ msgstr ""
+
+#~ msgid "A3: make sure you have installed mysql instance in right way"
+#~ msgstr ""
+
+#~ msgid "Docker:"
+#~ msgstr ""
+
+#~ msgid ""
+#~ "Normal: [download mysql "
+#~ "instance](https://dev.mysql.com/downloads/mysql/)"
+#~ msgstr ""
+
--- 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
@@ -0,0 +1,98 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:1
+#: bce4fd8751dd49bb8ab89a651094cfe1
+msgid "KBQA FAQ"
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:4
+#: c9714f70a03f422fae7bdb2b3b3c8be5
+msgid "Q1: text2vec-large-chinese not found"
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:6
+#: 1c56b9081adb46b29063947659e67083
+msgid ""
+"make sure you have download text2vec-large-chinese embedding model in "
+"right way"
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:18
+#: 39763bdbc6824675b293f0f219fc05bb
+msgid "Q2:How to change Vector DB Type in DB-GPT."
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:20
+#: 225cc6e5b6944ce3b675845aa93afb66
+msgid "Update .env file and set VECTOR_STORE_TYPE."
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:22
+#: 5ad12db4aed44f4890911b5aea9529ce
+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 "
+"vector store type, VECTOR_STORE_TYPE=Chroma (now only support Chroma and "
+"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 ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:38
+#: f8dd19ff86244cc7be91b7ab9190baeb
+msgid "Q3:When I use vicuna-13b, found some illegal character like this."
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:43
+#: ec4a69476d4e4e4d92619ade829c2b39
+msgid ""
+"Set KNOWLEDGE_SEARCH_TOP_SIZE smaller or set KNOWLEDGE_CHUNK_SIZE "
+"smaller, and reboot server."
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:45
+#: 5b039a860c0b4cb088d042467ad2a49c
+msgid ""
+"Q4:space add error (pymysql.err.OperationalError) (1054, \"Unknown column"
+" 'knowledge_space.context' in 'field list'\")"
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:47
+#: bafac5e248894263a77ab688922df520
+msgid "1.shutdown dbgpt_server(ctrl c)"
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:49
+#: 8ff5ca901f684e8ebe951f8c053ab925
+msgid "2.add column context for table knowledge_space"
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:53
+#: ea9f945678aa426894f0a12013f8fe5c
+msgid "3.execute sql ddl"
+msgstr ""
+
+#: ../../getting_started/faq/kbqa/kbqa_faq.md:58
+#: 1a7941f2f1e94d359095e92b470ee02c
+msgid "4.restart dbgpt serve"
+msgstr ""
+
--- 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
@@ -0,0 +1,92 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/faq/llm/llm_faq.md:1 f79c82f385904385b08618436e600d9f
+msgid "LLM USE FAQ"
+msgstr ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:3 1fc802fa69224062b02403bc35084c18
+msgid "Q1:how to use openai chatgpt service"
+msgstr ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:4 9094902d148a4cc99fe72aa0e41062ae
+msgid "change your LLM_MODEL"
+msgstr ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:9 07073eb8d9eb4988a3b035666c63d3fb
+msgid "set your OPENAPI KEY"
+msgstr ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:15 a71bb0d1181e47368a286b5694a00056
+msgid "make sure your openapi API_KEY is available"
+msgstr ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:17 789b003864824970923bac474a9ab0cd
+msgid "Q2 how to use MultiGPUs"
+msgstr ""
+
+#: ../../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 ""
+
+#: ../../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 ""
+
+#: ../../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 ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:32 d75d440da8ab49a3944c3a456db25bee
+msgid "Q3 Not Enough Memory"
+msgstr ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:34 2a2cd59382e149ffb623cb3d42754dca
+msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
+msgstr ""
+
+#: ../../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 ""
+
+#: ../../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 ""
+
+#: ../../getting_started/faq/llm/llm_faq.md:40 b6e4db679636492c9e4170a33fd6f638
+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 ""
+
--- 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: 2023-08-10 16:38+0800\n"
+"POT-Creation-Date: 2023-08-16 18:31+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,29 +19,29 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"

-#: ../../getting_started/getting_started.md:1 b5ce6e0075114e669c78cda63f22dfe6
+#: ../../getting_started/getting_started.md:1 70e40ad608d54bcfae6faf0437c09b6f
 msgid "Quickstart Guide"
 msgstr "使用指南"

-#: ../../getting_started/getting_started.md:3 caf6a35c0ddc43199750b2faae2bf95d
+#: ../../getting_started/getting_started.md:3 c22ff099d6e940f7938dcea0e2265f11
 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/getting_started.md:5 338aae168e63461f84c8233c4cbf4bcc
+#: ../../getting_started/getting_started.md:5 dc717e76b3194a85ac5b9e8a4479b197
 msgid "Installation"
 msgstr "安装"

-#: ../../getting_started/getting_started.md:7 62519550906f4fdb99aad61502e7a5e6
+#: ../../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 f9072092ebf24ebc893604ca86116cd3
+#: ../../getting_started/getting_started.md:9 bab013745cb24538ac568b97045b72cc
 msgid "1. Hardware Requirements"
 msgstr "1. 硬件要求"

-#: ../../getting_started/getting_started.md:10 071c54f9a38e4ef5bb5dcfbf7d4a6004
+#: ../../getting_started/getting_started.md:10 7dd84870db394338a5c7e63b171207e0
 msgid ""
 "As our project has the ability to achieve ChatGPT performance of over "
 "85%, there are certain hardware requirements. However, overall, the "
@@ -49,86 +49,76 @@ msgid ""
 "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:"

-#: ../../getting_started/getting_started.md 4757df7812c64eb4b511aa3b8950c899
+#: ../../getting_started/getting_started.md 055d07f830c54303a0b5596601c58870
 msgid "GPU"
 msgstr "GPU"

 #: ../../getting_started/getting_started.md
-#: ../../getting_started/getting_started.md:60 8f316fbd032f474b88d823978d134328
-#: cb3d34d1ed074e1187b60c6f74cf1468
+#: ../../getting_started/getting_started.md:50 7323cee42940438b8a0752d3c2355e59
+#: e3fc2c10f81b4fe2ac0bfd9fe78feed9
 msgid "VRAM Size"
 msgstr "显存大小"

-#: ../../getting_started/getting_started.md ac41e6ccf820424b9c497156a317287d
+#: ../../getting_started/getting_started.md 68831daf63f14dcd92088dd6c866f110
 msgid "Performance"
 msgstr "显存大小"

-#: ../../getting_started/getting_started.md 3ca06ce116754dde958ba21beaedac6f
+#: ../../getting_started/getting_started.md 8a7197a5e92c40a9ba160b43656983d2
 msgid "RTX 4090"
 msgstr "RTX 4090"

-#: ../../getting_started/getting_started.md 54e3410cc9a241098ae4412356a89f02
-#: e3f31b30c4c84b45bc63b0ea193d0ed1
+#: ../../getting_started/getting_started.md 69b2bfdec17e43fbb57f47e3e10a5f5a
+#: 81d0c2444bbb4a2fb834a628689e4b68
 msgid "24 GB"
 msgstr "24 GB"

-#: ../../getting_started/getting_started.md ff0c37e041a848899b1c3a63bab43404
+#: ../../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 09120e60cfc640e182e8069a372038cc
+#: ../../getting_started/getting_started.md 527def44c8b24e4bbe589d110bd43e91
 msgid "RTX 3090"
 msgstr "RTX 3090"

-#: ../../getting_started/getting_started.md 0545dfec3b6d47e1bffc87301a0f05b3
+#: ../../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 d41078c0561f47a981a488eb4b9c7a54
+#: ../../getting_started/getting_started.md c090521969f042398236f6d04b017295
 msgid "V100"
 msgstr "V100"

-#: ../../getting_started/getting_started.md 6aefb19420f4452999544a0da646f067
+#: ../../getting_started/getting_started.md 60605e0de3fc494cbb7199cef8f831ad
 msgid "16 GB"
 msgstr "16 GB"

-#: ../../getting_started/getting_started.md 8e06966b88234f4898729750d724e272
+#: ../../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 113957ae638e4799a47e58a2ca259ce8
+#: ../../getting_started/getting_started.md:18 b9df8ec7b2c34233b28db81f3c90f8c7
 msgid "2. Install"
 msgstr "2. 安装"

-#: ../../getting_started/getting_started.md:20 e068b950171f4c48a9e125ece31f75b9
+#: ../../getting_started/getting_started.md:20 bd0f0159a49b4493ab387e124fef15fa
 #, fuzzy
 msgid ""
-"1.This project relies on a local MySQL database service, which you need "
-"to install locally. We recommend using Docker for installation."
-msgstr "本项目依赖一个本地的 MySQL 数据库服务，你需要本地安装，推荐直接使用 Docker 安装。"
-
-#: ../../getting_started/getting_started.md:24 f115b61438ad403aaaae0fc4970a982b
-msgid "prepare server sql script"
-msgstr "准备db-gpt server sql脚本"
-
-#: ../../getting_started/getting_started.md:29 c5f707269582464e92e5fd57365f5a51
-msgid ""
 "We use [Chroma embedding database](https://github.com/chroma-core/chroma)"
-" as the default for our vector 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."
+" 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"

-#: ../../getting_started/getting_started.md:38 377381c76f32409298f4184f23653205
+#: ../../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:44 62e7e96a18ca495595b3dfab97ca387e
+#: ../../getting_started/getting_started.md:34 03e1652f724946ec8d01a97811883b5f
 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 "
@@ -137,40 +127,40 @@ 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。"

-#: ../../getting_started/getting_started.md:47 e34d946ab06e47dba81cf50348987594
+#: ../../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:58 07149cfac5314daabbd37dc1cef82905
+#: ../../getting_started/getting_started.md:48 af91349fe332472ca7a2e592a0c582f7
 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。"

-#: ../../getting_started/getting_started.md:61 b8da240286e04573a2d731d228fbdb1e
+#: ../../getting_started/getting_started.md:51 84d2d93130034c2f94f4d0bebcc2b0d2
 msgid "cp .env.template .env"
 msgstr "cp .env.template .env"

-#: ../../getting_started/getting_started.md:64 c2b05910bba14e5b9b49f8ad8c436412
+#: ../../getting_started/getting_started.md:54 b3adfec002354f00baba9c43a1a3e381
 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/getting_started.md:66 4af57c4cbf4744a8af83083d051098b3
+#: ../../getting_started/getting_started.md:56 1b11268133c0440cb3c26981f5d0c1fe
 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:68 62287c3828ba48c4871dd831af7d819a
+#: ../../getting_started/getting_started.md:58 511d47f08bab42e0bd3f34df58c5a822
 msgid "3. Run"
 msgstr "3. 运行"

-#: ../../getting_started/getting_started.md:69 7a04f6c514c34d87a03b105de8a03f0b
+#: ../../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-"
@@ -179,7 +169,7 @@ 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:71 72c9ad9d95c34b42807ed0a1e46adb73
+#: ../../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 "
@@ -188,7 +178,7 @@ 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:73 889cf1a4dbd2422580fe59d9f3eab6bf
+#: ../../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 > "
@@ -197,21 +187,21 @@ 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:76 28a2ec60d35c43edab71bac103ccb0e0
+#: ../../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:81
-#: ../../getting_started/getting_started.md:140
-#: ../../getting_started/getting_started.md:194
-#: 04ed6e8729604ee59edd16995301f0d5 225139430ee947cb8a191f1641f581b3
-#: b33473644c124fdf9fe9912307cb6a9d
+#: ../../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:83 8068aef8a84e46b59caf59de32ad6e2b
+#: ../../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 "
@@ -219,7 +209,7 @@ msgid ""
 "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:86 4a11e53950ac489a891ca8dc67c26ca0
+#: ../../getting_started/getting_started.md:76 7808d30d1642422fbed42f1929e37343
 #, fuzzy
 msgid ""
 "If you want to learn about dbgpt-webui, read https://github./csunny/DB-"
@@ -228,268 +218,304 @@ 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:92 6a2b09ea9ba64c879d3e7ca154d95095
+#: ../../getting_started/getting_started.md:82 094ed036720c406c904c8a9ca6e7b8ae
 msgid "4. Docker (Experimental)"
 msgstr "4. Docker (Experimental)"

-#: ../../getting_started/getting_started.md:94 5cef89f829ce4da299f9b430fd52c446
+#: ../../getting_started/getting_started.md:84 9428d68d1eef42c28bf33d9bd7022c85
 msgid "4.1 Building Docker image"
 msgstr "4.1 Building Docker image"

-#: ../../getting_started/getting_started.md:100
-#: b3999a9169694b209bd4848c6458ff41
+#: ../../getting_started/getting_started.md:90 16bfb175a85c455e847c3cafe2d94ce1
 msgid "Review images by listing them:"
 msgstr "Review images by listing them:"

-#: ../../getting_started/getting_started.md:106
-#: ../../getting_started/getting_started.md:180
-#: 10486e7f872f4c13a384b75e564e37fe 5b142d0a103848fa82fafd40a557f998
+#: ../../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:113
-#: 83dd5525d0f7481fac57e5898605e7f3
+#: ../../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:121
-#: d5b916efd7b84972b68a4aa50ebc047c
+#: ../../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 "
+msgstr ""
+"You can execute the command `bash docker/build_all_images.sh --help` to "
 "see more usage."

-#: ../../getting_started/getting_started.md:123
-#: 0d01cafcfde04c92b4115d804dd9e912
+#: ../../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:125
-#: 90d49baea1d34f01a0db696fd567bfba
-msgid "**Run with local model**"
+#: ../../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:143
-#: 422a237241014cac9917832ac053aed5
+#: ../../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"
+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:144
-#: af5fb303a0c64567b9c82a3ce3b00aaa
+#: ../../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 "
+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:146
-#: ../../getting_started/getting_started.md:188
-#: 05652e117c3f4d3aaea0269f980cf975 3844ae7eeec54804b05bc8aea01c3e36
+#: ../../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:152
-#: 665aa47936aa40458fe33dd73c76513d
+#: ../../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:171
-#: 98d627b0f7f149dfb9c7365e3ba082a1
+#: ../../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, "
+msgstr ""
+"`-e LLM_MODEL=proxyllm`, means we use proxy llm(openai interface, "
 "fastchat interface...)"

-#: ../../getting_started/getting_started.md:172
-#: b293dedb88034aaab9a3b740e82d7adc
+#: ../../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-"
+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:174
-#: e48085324a324749af8a21bad8e7ca0e
+#: ../../getting_started/getting_started.md:180
+#: 257860df855843eb85383478d2e8baca
 msgid "4.3. Run with docker compose"
 msgstr ""

-#: ../../getting_started/getting_started.md:196
-#: a356d9ae292f4dc3913c5999e561d533
+#: ../../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"
+msgstr ""
+"You can open docker-compose.yml in the project root directory to see more"
 " details."

-#: ../../getting_started/getting_started.md:199
-#: 0c644409bce34bf4b898c26e24f7a1ac
+#: ../../getting_started/getting_started.md:205
+#: 0dd3dc0d7a7f4565a041ab5855808fd3
 msgid "5. Multiple GPUs"
 msgstr "5. Multiple GPUs"

-#: ../../getting_started/getting_started.md:201
-#: af435b17984341e5abfd2d9b64fbde20
+#: ../../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 "
+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:203
-#: aac3e9cec74344fd963e2136a26384af
+#: ../../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 "
+msgstr ""
+"Optionally, you can also specify the gpu ID to use before the starting "
 "command, as shown below:"

-#: ../../getting_started/getting_started.md:213
-#: 3351daf4f5a04b76bae2e9cd8740549e
+#: ../../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:215
-#: fabf9090b7c649b59b91742ba761339c
+#: ../../getting_started/getting_started.md:221
+#: c80f5e6d2a6042ad9ac0ef320cc6d987
 msgid "6. Not Enough Memory"
 msgstr ""

-#: ../../getting_started/getting_started.md:217
-#: d23322783fd34364acebe1679d7ca554
+#: ../../getting_started/getting_started.md:223
+#: b8151a333f804489ad6a2b59e739a8ed
 msgid "DB-GPT supported 8-bit quantization and 4-bit quantization."
 msgstr ""

-#: ../../getting_started/getting_started.md:219
-#: 8699aa0b5fe049099fb1e8038f9ad1ee
+#: ../../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:221
-#: b115800c207b49b39de5e1a548feff58
+#: ../../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"
+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:223
-#: ae7146f0995d4eca9f775c39898d5313
+#: ../../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 "
+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:226
-#: 58987c486d2641cda3180a77af26c56d
+#: ../../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 "
+msgstr ""
+"Here are some of the VRAM size usage of the models we tested in some "
 "common scenarios."

-#: ../../getting_started/getting_started.md:60 4ca1a7e65f7e46c08ef12a1357f68817
+#: ../../getting_started/getting_started.md:50 165d0902ed064bbaa8b0bbe84befe139
 msgid "Model"
 msgstr "Model"

-#: ../../getting_started/getting_started.md:60 21ab5b38f81a49aeacadbcde55082adf
+#: ../../getting_started/getting_started.md:50 d077bca9cada4a9b89037ef5ab494c26
 msgid "Quantize"
 msgstr "Quantize"

-#: ../../getting_started/getting_started.md:60 a2ad84e7807c4d3ebc9d2f9aec323962
-#: b4e2d7a107074e58b91b263d815b2936
+#: ../../getting_started/getting_started.md:50 42723863614e42b1aa6c664bfd197474
+#: b71ce0c19de7471787cbbc09d6137a4b
 msgid "vicuna-7b-v1.5"
 msgstr "vicuna-7b-v1.5"

-#: ../../getting_started/getting_started.md:60 0134b7564c3f4cd9a605c3e7dabf5c78
-#: 12a931b938ee4e938a4ed166532946e9 9cc80bc860c7430cbc2b4aff3c4c67d2
-#: b34fb93b644a419d8073203a1a0091fc bb61c197b1c74eb2bf4e7e42ad05850d
-#: e3ab5cabd6f54faa9de0ec6c334c0d44 f942635d6f5e483293833ac5f92b6ab9
+#: ../../getting_started/getting_started.md:50 2654d358528a48e38bec445644ffd20a
+#: 2ad34cd14f54422491464967331d83fc 3b42a055e72847ec99d8d131fa9f5f84
+#: 6641e98d9bed44ee853fe7a11263a88b a69801bc92f143aa9e0818886ef6eade
+#: daa418b33705484ba944b0d92981a501 fc26bd1dace2432ca64b99ca16c2c80f
 msgid "4-bit"
 msgstr "4-bit"

-#: ../../getting_started/getting_started.md:60 a8556b0ec7b3488585efcdc2ba5e8565
-#: afb4365dab1e4be18f486fafbd5c6256 b50b8bc0e8084e6ebe4f9678d1f2af9d
+#: ../../getting_started/getting_started.md:50 1688f8a0972c4026abf69b5186d92137
+#: 683de09d524a4084bcdad1a184206f87 74586e40b480444591dc884e7f3f683f
 #, fuzzy
 msgid "8 GB"
 msgstr "24 GB"

-#: ../../getting_started/getting_started.md:60 259b43952ea5424a970dfa29c84cc83d
-#: 64c6a8282eaf4e229d4196ccdbc2527f 7a426b8af2a6406fa4144142450e392e
-#: 8e5742b0c4b44bf6bd0536aade037671 a96071a0c713493fae2b381408ceaad3
-#: dcd6861abd2049a38f32957dd16408ab f334903a72934a2a86c3b24920f8cfdb
+#: ../../getting_started/getting_started.md:50 13aa8cac7a784ad1a1b58b166be99711
+#: 32633a38c1f44aac92f9647ee7867cd1 3b7fea4236174e2bb33894fd8234eddb
+#: 3b8104af560e41f285d9c433e19f6cb7 5862f0c57e2c411dada47fe71f6a74bd
+#: 6425f53f197742c8b3153a79cf4a220a d1fa83af3a884714a72f7a0af5f3be23
 msgid "8-bit"
 msgstr "8-bit"

-#: ../../getting_started/getting_started.md:60 09c7435ba68248bd885a41366a08f557
-#: 328ad98c8cb94f9083e8b5f158d7c14e 633e1f6d17404732a0c2f1cdf04f6591
-#: c351117229304ae88561cdd284a77f55 c77a5a73cde34e3195a6389fdd81deda
-#: f28704154fad48a8a08e16e136877ca7
+#: ../../getting_started/getting_started.md:50 107ed4fb15c44cb5bb7020a8092f7341
+#: 1d1791894226418ea623abdecd3107ba 1fdc42ef874f4022be31df7696e6a5de
+#: 718c49ddac8e4086a75cdbba166dc3cb 99404c8333974ae7a1e68885f4471b32
+#: da59674e4418488583cf4865545ad752
 #, fuzzy
 msgid "12 GB"
 msgstr "24 GB"

-#: ../../getting_started/getting_started.md:60 63564bdcfa4249438d0245922068924f
-#: 9ad1bc9af45b4f52a1a0a9e7c8d14cce
+#: ../../getting_started/getting_started.md:50 79bf82a6dc9f4c22af779be4b1d2d13c
+#: b5bde8f01fc343baa567806fd53070dc
 msgid "vicuna-13b-v1.5"
 msgstr "vicuna-13b-v1.5"

-#: ../../getting_started/getting_started.md:60 0e05753ff4ec4c1a94fc68b63254115b
-#: 68a9e76f2089461692c8f396774e7634 a3136e5685cf49c4adbf79224cb0eb7d
+#: ../../getting_started/getting_started.md:50 362720115dd64143a214b3b9d3069512
+#: e0545557159b44dea0522a1848170216 e3c6ab8f25bc4adbae3b3087716a1efe
 #, fuzzy
 msgid "20 GB"
 msgstr "24 GB"

-#: ../../getting_started/getting_started.md:60 173b58152fde49f4b3e03103323c4dd7
-#: 7ab8309661024d1cb656911acb7b0d58
+#: ../../getting_started/getting_started.md:50 295fd7d6e6c846748a1f2c82f8c79ba0
+#: 55efa8e8e4e74efc865df87fcfade84d
 msgid "llama-2-7b"
 msgstr "llama-2-7b"

-#: ../../getting_started/getting_started.md:60 069459a955274376a3d9a4021a032424
-#: 619257e4671141488feb6e71bd002880
+#: ../../getting_started/getting_started.md:50 15b1e541bdac43fda1dcccf2aaeaa40f
+#: 5785954810bc45369ed1745f5c503c9c
 msgid "llama-2-13b"
 msgstr "llama-2-13b"

-#: ../../getting_started/getting_started.md:60 ce39526cfbcc4c8c910928dc69293720
-#: f5e3fb53bd964e328aac908ae6fc06a4
+#: ../../getting_started/getting_started.md:50 185892d421684c1b903c04ea9b6653d7
+#: d7970a5fe574434798d72427436c82d5
 msgid "llama-2-70b"
 msgstr "llama-2-70b"

-#: ../../getting_started/getting_started.md:60 c09fb995952048d290dde484a0e09478
+#: ../../getting_started/getting_started.md:50 f732a7f73a504bd1b56b42dab1114d04
 #, fuzzy
 msgid "48 GB"
 msgstr "24 GB"

-#: ../../getting_started/getting_started.md:60 4d9bc275dbc548918cda210f5f5d7722
+#: ../../getting_started/getting_started.md:50 04642b0dd4bc4563a45c6d15fa1d8f07
 #, fuzzy
 msgid "80 GB"
 msgstr "24 GB"

-#: ../../getting_started/getting_started.md:60 962d13ed427041a19f20d9a1c8ca26ff
-#: dedfece8bc8c4ffabf9cc7166e4ca4db
+#: ../../getting_started/getting_started.md:50 b9c4d8b71b1e4185bab24a857433f884
+#: fc1b1927cc344e2e91bb7047c79ad227
 msgid "baichuan-7b"
 msgstr ""

-#: ../../getting_started/getting_started.md:60 43f629be73914d4cbb1d75c7a06f88e8
-#: 5cba8d23c6e847579986b7019e073eaf
+#: ../../getting_started/getting_started.md:50 c92417b527a04d82ac9caa837884113c
+#: dc17ae982c154b988433a0c623301bcb
 msgid "baichuan-13b"
 msgstr "baichuan-13b"

 #~ msgid "4.2. Run with docker compose"
 #~ msgstr "4.2. Run with docker compose"

+#~ msgid ""
+#~ "1.This project relies on a local "
+#~ "MySQL database service, which you need"
+#~ " to install locally. We recommend "
+#~ "using Docker for installation."
+#~ msgstr "本项目依赖一个本地的 MySQL 数据库服务，你需要本地安装，推荐直接使用 Docker 安装。"
+
+#~ msgid "prepare server sql script"
+#~ msgstr "准备db-gpt server sql脚本"
+
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install.po
@@ -0,0 +1,52 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/install.rst:2 ../../getting_started/install.rst:14
+#: 2861085e63144eaca1bb825e5f05d089
+msgid "Install"
+msgstr "Install"
+
+#: ../../getting_started/install.rst:3 01a6603d91fa4520b0f839379d4eda23
+msgid ""
+"DB-GPT product is a Web application that you can chat database, chat "
+"knowledge, text2dashboard."
+msgstr "DB-GPT 可以生成sql，智能报表, 知识库问答的产品"
+
+#: ../../getting_started/install.rst:8 beca85cddc9b4406aecf83d5dfcce1f7
+msgid "deploy"
+msgstr "部署"
+
+#: ../../getting_started/install.rst:9 601e9b9eb91f445fb07d2f1c807f0370
+msgid "docker"
+msgstr "docker"
+
+#: ../../getting_started/install.rst:10 6d1e094ac9284458a32a3e7fa6241c81
+msgid "docker_compose"
+msgstr "docker_compose"
+
+#: ../../getting_started/install.rst:11 ff1d1c60bbdc4e8ca82b7a9f303dd167
+msgid "environment"
+msgstr "environment"
+
+#: ../../getting_started/install.rst:12 33bfbe8defd74244bfc24e8fbfd640f6
+msgid "deploy_faq"
+msgstr "deploy_faq"
+
--- 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
@@ -0,0 +1,424 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/install/deploy/deploy.md:1
+#: de443fce549545518824a89604028a2e
+msgid "Installation From Source"
+msgstr "源码安装"
+
+#: ../../getting_started/install/deploy/deploy.md:3
+#: d7b1a80599004c589c9045eba98cc5c9
+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
+#: 0ba98573194c4108aedaa2669915e949
+msgid "Installation"
+msgstr "安装"
+
+#: ../../getting_started/install/deploy/deploy.md:7
+#: b8f465fcee2b45009bb1c6356df06b20
+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
+#: fd5031c97e304023bd6880cd10d58413
+msgid "1. Hardware Requirements"
+msgstr "1. 硬件要求"
+
+#: ../../getting_started/install/deploy/deploy.md:10
+#: 05f570b3999f465982c2648f658aed82
+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:"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 5c5ee902c51d4e44aeeac3fa99910098
+msgid "GPU"
+msgstr "GPU"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: a3199d1f11474451a06a11503c4e8c74 e3d7c2003b444cb886aec34aaba4acfe
+msgid "VRAM Size"
+msgstr "显存"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 3bd4ce6f9201483fa579d42ebf8cf556
+msgid "Performance"
+msgstr "Performance"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 8256a27b6a534edea5646589d65eb34e
+msgid "RTX 4090"
+msgstr "RTX 4090"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 25c1f69adc5d4a058dbd28ea4414c3f8 ed85dab6725b4f0baf13ff67a7032777
+msgid "24 GB"
+msgstr "24 GB"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: f57d2a02d8344a3d9870c1c21728249d
+msgid "Smooth conversation inference"
+msgstr "Smooth conversation inference"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: aa1e607b65964d43ad93fc9b3cff7712
+msgid "RTX 3090"
+msgstr "RTX 3090"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: c0220f95d58543b498bdf896b2c1a2a1
+msgid "Smooth conversation inference, better than V100"
+msgstr "Smooth conversation inference, better than V100"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: acf0daf6aa764953b43464c8d6688dd8
+msgid "V100"
+msgstr "V100"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 902f8c48bdad47d587acb1990b4d45b7 e53c23b23b414025be52191beb6d33da
+msgid "16 GB"
+msgstr "16 GB"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 68f4b835131c4753b1ba690f3b34daea fac3351a3901481c9e0c5204d6790c75
+msgid "Conversation inference possible, noticeable stutter"
+msgstr "Conversation inference possible, noticeable stutter"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: d4b9ff72353b4a10bff0647bf50bfe5c
+msgid "T4"
+msgstr "T4"
+
+#: ../../getting_started/install/deploy/deploy.md:19
+#: ddc9544667654f539ca91ac7e8af1268
+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
+#: a6ec9822bc754670bbfc1a8a75e71eb2
+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
+#: b307fe62a5564cadbf3f2d1387165c6b
+msgid "Model"
+msgstr "Model"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 718fb2ff4fcc488aba8963fc6ad5ea8c
+msgid "Quantize"
+msgstr "Quantize"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 6079a14fca3d43bfbf14021fcd1534c7 785489b458ca4578bfd586c495b5abb9
+msgid "vicuna-7b-v1.5"
+msgstr "vicuna-7b-v1.5"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 1d6a5c19584247d89fb2eb98bcaecc83 278d03ee54e749e1b5f20204ddc36149
+#: 69c01cb441894f059e91400502cd33ae 7fa7d4922bfb4b3bb44b98ea02ff7e78
+#: b8b4566e3a994919b9821cd536504936 d6f4afc865cb40b085b5fc79a09bc7f9
+#: ef05aa05a2d2411a91449ccc18a76211
+msgid "4-bit"
+msgstr "4-bit"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 1266b6e1dde64dab9e6d8bba2f3f6d09 8ab98ed2c80c48ab9e9694131ffcac67
+#: b94deb7b80c24ce8a694984511e5a02a
+msgid "8 GB"
+msgstr "8 GB"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 065f1cf1a1b94ad5803f95f8f019d882 0689708416e14942a76c2808a26bc26e
+#: 29dc55e7659a4d6a999a347c346e1327 5f0fa6c729db4cd7ab42dbdc73ca4e40
+#: 6401e59dc85541a0b20cb2d2c26e4fd0 9071acd973b24d5582f8d879d5e55931
+#: 96f12483ac7447baab6592538cfd567c
+msgid "8-bit"
+msgstr "8-bit"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 2d56e3dc1f6a4035a770f7b94c8e0f96 5eebdf37bc544624be5d1b6dabda4716
+#: b9fd2505b4644257b91777bc68d5f41e e7056c195656413f92a0c78b5d14219c
+#: e7b87586700e4da0aaccff0b4c7c54f7 eb5ad729ae784c7cb8dd52fbb12699ae
+msgid "12 GB"
+msgstr "12 GB"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 529ead731c98461b8cb5452c4e72ab23 7cce32961a654ed2a31edc82724e6a1f
+msgid "vicuna-13b-v1.5"
+msgstr "vicuna-13b-v1.5"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 0085b850f3574ba6bf3b3654123882dd 69b2df6df91c49b2b26f6749bf6dc657
+#: 714e9441566e4c8bbdeaad944e64c699
+msgid "20 GB"
+msgstr "20 GB"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 133b65fb88f74645ae5db5cd0009bb35 1e7dedf510e94a47b23eaef61f9687b1
+msgid "llama-2-7b"
+msgstr "llama-2-7b"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 0951d03bb6544a2391dcd72eea47c1a7 89f93c8aadc84a0d97d3d89ee55d06bf
+msgid "llama-2-13b"
+msgstr "llama-2-13b"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 6e5a32858b20441daa4b2584faa46ec4 8bcd62d8cf4f49aebb7d97cd9e015252
+msgid "llama-2-70b"
+msgstr "llama-2-70b"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 7f7333221b014cc6857fd9a9e358d85c
+msgid "48 GB"
+msgstr "48 GB"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 77c24e304e9e4de7b62f99ce29a66a70
+msgid "80 GB"
+msgstr "80 GB"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 32c04dc45efb45bcb516640a6d15cce1 e04ad78be6774c32bc53ddd7951cedae
+msgid "baichuan-7b"
+msgstr "baichuan-7b"
+
+#: ../../getting_started/install/deploy/deploy.md
+#: 0fe379939b164e56b0d93113e85fbd98 3400143cf1b94edfbf5da63ed388b08c
+msgid "baichuan-13b"
+msgstr "baichuan-13b"
+
+#: ../../getting_started/install/deploy/deploy.md:40
+#: 7a05f116e0904d0d84d9fc98e5465494
+msgid "2. Install"
+msgstr "2. Install"
+
+#: ../../getting_started/install/deploy/deploy.md:45
+#: 8f4d6c2b69cb46288f593b6c2aa7701e
+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 "
+"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. [How to install "
+"Miniconda](https://docs.conda.io/en/latest/miniconda.html)"
+msgstr ""
+"目前使用Sqlite作为默认数据库，因此DB-"
+"GPT快速部署不需要部署相关数据库服务。如果你想使用其他数据库，需要先部署相关数据库服务。我们目前使用Miniconda进行python环境和包依赖管理[安装"
+" Miniconda](https://docs.conda.io/en/latest/miniconda.html)"
+
+#: ../../getting_started/install/deploy/deploy.md:54
+#: 3ffaf7fed0c8422b9ceb2ab82d6ddd4d
+msgid "Before use DB-GPT Knowledge"
+msgstr "在使用知识库之前"
+
+#: ../../getting_started/install/deploy/deploy.md:60
+#: 2c2ef86e379d4db18bdfdba6133a0b2f
+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 "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
+#: 73a766538b3d4cfaa8d7a68b3c9915b8
+msgid ""
+"Notice make sure you have install git-lfs centos:yum install git-lfs "
+"ubuntu:app-get install git-lfs macos:brew install git-lfs"
+msgstr ""
+"注意下载模型之前确保git-lfs已经安ubuntu:app-get install git-lfs macos:brew install "
+"git-lfs"
+
+#: ../../getting_started/install/deploy/deploy.md:83
+#: 3c26909ece094ecb9f6343d15cca394a
+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。"
+
+#: ../../getting_started/install/deploy/deploy.md:85
+#: efab7120927d4b3f90e591d736b927a3
+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)"
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:88
+#: 2009fcaad7c34ebfaa900215650256fc
+msgid "cp .env.template .env"
+msgstr "cp .env.template .env"
+
+#: ../../getting_started/install/deploy/deploy.md:91
+#: ee97ddf25daf45e3bc32b33693af447a
+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:93
+#: a86fd88e1d0f4925b8d0dbc27535663b
+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 ""
+"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。([Vicuna-v1.5](https://huggingface.co/lmsys"
+"/vicuna-13b-v1.5)， "
+"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:95
+#: 5395445ea6324e7c9e15485fad084937
+msgid "3. Run"
+msgstr "3. Run"
+
+#: ../../getting_started/install/deploy/deploy.md:96
+#: cbbc83183f0d49bdb16a3df18adbe8b2
+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 ""
+
+#: ../../getting_started/install/deploy/deploy.md:98
+#: e0ffb578c7894520bbb850b257e7773c
+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 ""
+
+#: ../../getting_started/install/deploy/deploy.md:100
+#: 2a32ee94d4404dc2bf4c57aae21b5ec3
+msgid ""
+"set .env configuration set your vector store type, "
+"eg:VECTOR_STORE_TYPE=Chroma, now we support Chroma and Milvus(version > "
+"2.1)"
+msgstr ""
+
+#: ../../getting_started/install/deploy/deploy.md:103
+#: 590c7c07cf5347b4aeee0809185c7f45
+msgid "1.Run db-gpt server"
+msgstr "1.Run db-gpt server"
+
+#: ../../getting_started/install/deploy/deploy.md:108
+#: cc1f6d2e37464a4291ee7d33d9ebd75f
+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:110
+#: 7eef6b17573e4300aa6b693200461f58
+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(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"
+
+#: ../../getting_started/install/deploy/deploy.md:113
+#: 2fa89081574d4d3a92a4c7d33b090d02
+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web-ui, 请访问https://github./csunny/DB-GPT/tree/new-page-"
+"framework/datacenter"
+
+#: ../../getting_started/install/deploy/deploy.md:120
+#: 3b825bc956a0406fb8464e51cfeb769e
+msgid "4. Multiple GPUs"
+msgstr "4. Multiple GPUs"
+
+#: ../../getting_started/install/deploy/deploy.md:122
+#: 568ea5e67ad745858870e66c42ba6833
+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:124
+#: c5b980733d7a4c8d997123ff5524a055
+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:134
+#: 2a5d283a614644d1bb98bbe721aee8e1
+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:136
+#: c29c956d3071455bb11694df721e6612
+msgid "5. Not Enough Memory"
+msgstr "5. Not Enough Memory"
+
+#: ../../getting_started/install/deploy/deploy.md:138
+#: 0174e92fdbfa4af08063c89f6bbe3957
+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:140
+#: 277f67fa08a541b3bd1fe77cdab39757
+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:142
+#: 00884fdf7c9a4f8c983ee52bfbb820aa
+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:144
+#: a73698444bb4426ca779cc126497a2e0
+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"
+
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/docker/docker.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/docker/docker.po
@@ -0,0 +1,118 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/install/docker/docker.md:1
+#: ea5d6b95dea844b89d2f5d0e8f6ebfd3
+msgid "Docker Install"
+msgstr "Docker Install"
+
+#: ../../getting_started/install/docker/docker.md:4
+#: c1125facb7334346a8e5b66bab892b1c
+msgid "Docker (Experimental)"
+msgstr "Docker (Experimental)"
+
+#: ../../getting_started/install/docker/docker.md:6
+#: 33a64984d0694ec9aee272f8a7ecd4cf
+msgid "1. Building Docker image"
+msgstr "1.构建Docker镜像"
+
+#: ../../getting_started/install/docker/docker.md:12
+#: 656beee32e6f4a49ad48a219910ba36c
+msgid "Review images by listing them:"
+msgstr "Review images by listing them:"
+
+#: ../../getting_started/install/docker/docker.md:18
+#: a8fd727500de480299e5bdfc86151473
+msgid "Output should look something like the following:"
+msgstr "输出日志应该长这样:"
+
+#: ../../getting_started/install/docker/docker.md:25
+#: 965edb9fe5184571b8afc5232cfd2773
+msgid "You can pass some parameters to docker/build_all_images.sh."
+msgstr "你也可以docker/build_all_images.sh构建的时候指定参数"
+
+#: ../../getting_started/install/docker/docker.md:33
+#: a1743c21a4db468db108a60540dd4754
+msgid ""
+"You can execute the command `bash docker/build_all_images.sh --help` to "
+"see more usage."
+msgstr "可以指定命令`bash docker/build_all_images.sh --help`查看如何使用"
+
+#: ../../getting_started/install/docker/docker.md:35
+#: cb7f05675c674fcf931a6afa6fb7d24c
+msgid "2. Run all in one docker container"
+msgstr "2. Run all in one docker container"
+
+#: ../../getting_started/install/docker/docker.md:37
+#: 2b2d95e668ed428e97eac851c604a74c
+msgid "**Run with local model**"
+msgstr "**Run with local model**"
+
+#: ../../getting_started/install/docker/docker.md:52
+#: ../../getting_started/install/docker/docker.md:87
+#: 731540ca95004dd2bb2c3a9871ddb404 e3ab41d312ea40d492b48cf8629553fe
+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/docker/docker.md:55
+#: 2cbab25caaa749f5b753c58947332cb2
+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` 指定llm model is vicuna-13b "
+
+#: ../../getting_started/install/docker/docker.md:56
+#: ed7e79d43ee940dca788f15d520850a3
+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`, 指定挂载的模型文件 "
+"directory `/data/models` to the docker container directory `/app/models`,"
+" 你也可以替换成你自己的模型."
+
+#: ../../getting_started/install/docker/docker.md:58
+#: 98e7bff5dab04979a0bb15abdf2ac1e0
+msgid "You can see log with command:"
+msgstr "你也可以通过命令查看日志"
+
+#: ../../getting_started/install/docker/docker.md:64
+#: 7ce23cecd6f24a6b8d3e4708d5f6265d
+msgid "**Run with openai interface**"
+msgstr "**Run with openai interface**"
+
+#: ../../getting_started/install/docker/docker.md:83
+#: bdf315780f454aaf9ead6414723f34c7
+msgid ""
+"`-e LLM_MODEL=proxyllm`, means we use proxy llm(openai interface, "
+"fastchat interface...)"
+msgstr "`-e LLM_MODEL=proxyllm`, 通过设置模型为第三方模型服务API， 可以是openai, 也可以是fastchat interface..."
+
+#: ../../getting_started/install/docker/docker.md:84
+#: 12b3e78d3ebd47288a8d081eea278b45
+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`, 设置知识库embedding模型为text2vec. "
+"container.""
+
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/docker_compose/docker_compose.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/docker_compose/docker_compose.po
@@ -0,0 +1,53 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/install/docker_compose/docker_compose.md:1
+#: f1092bd1601c48789cb6f35ff9141c69
+msgid "Docker Compose"
+msgstr "Docker Compose"
+
+#: ../../getting_started/install/docker_compose/docker_compose.md:4
+#: 63460a1c4e0f46378c6a48643684fa17
+msgid "Run with docker compose"
+msgstr "Run with docker compose"
+
+#: ../../getting_started/install/docker_compose/docker_compose.md:10
+#: fa53c93a8c8b451788987461e6b296b6
+msgid "Output should look something like the following:"
+msgstr "输出应该这样:"
+
+#: ../../getting_started/install/docker_compose/docker_compose.md:18
+#: 6c56a6ef5367442ab924f9a49d955d11
+msgid "You can see log with command:"
+msgstr "你可以通过命令查看日志"
+
+#: ../../getting_started/install/docker_compose/docker_compose.md:24
+#: 1bd9fac3803641fa9ec1730c7d15d3f1
+msgid "Open http://localhost:5000 with your browser to see the product."
+msgstr "打开浏览器访问Open http://localhost:5000"
+
+#: ../../getting_started/install/docker_compose/docker_compose.md:26
+#: 21214a8bf62746078ccf7ab83ccca4f7
+msgid ""
+"You can open docker-compose.yml in the project root directory to see more"
+" details."
+msgstr "可以打开docker-compose.yml查看更多内容"
+
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/environment/environment.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/install/environment/environment.po
@@ -0,0 +1,358 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+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"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../getting_started/install/environment/environment.md:1
+#: f53e1cd4e7f14be68fe574f62b390e72
+msgid "Env Parameter"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:4
+#: 47136d85ee0e4d9b95ffbf8333bec51d
+msgid "LLM MODEL Config"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:5
+#: 3b15da40362e4a0182cfab06d0d7832e
+msgid "LLM Model Name, see /pilot/configs/model_config.LLM_MODEL_CONFIG"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:6
+#: d65fcfb91f254be995e26b80a9b369f8
+msgid "LLM_MODEL=vicuna-13b"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:8
+#: 5b1a0f7f9b81469ca43a328d18250c2d
+msgid "MODEL_SERVER_ADDRESS"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:9
+#: 2d99674a9aa44254a54548a746369731
+msgid "MODEL_SERVER=http://127.0.0.1:8000  LIMIT_MODEL_CONCURRENCY"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:12
+#: 9783efba49c24c38ba7c998fdba1f469
+msgid "LIMIT_MODEL_CONCURRENCY=5"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:14
+#: 6c9a05252b114942912c2f4123c6e5aa
+msgid "MAX_POSITION_EMBEDDINGS"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:16
+#: d8e6a0b293c4415b91f1c927c2b9313a
+msgid "MAX_POSITION_EMBEDDINGS=4096"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:18
+#: b206ac79475a40f3add1fabd26fe2f16
+msgid "QUANTIZE_QLORA"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:20
+#: fb7702fe165441dfb29d18e20a7d65e5
+msgid "QUANTIZE_QLORA=True"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:22
+#: 335beebb5fa34878967385bbe6c6aba6
+msgid "QUANTIZE_8bit"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:24
+#: 8ee6cf930d284c149eff21215795718c
+msgid "QUANTIZE_8bit=True"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:27
+#: ad49e465cfe44d13b7172a50ee335875
+msgid "LLM PROXY Settings"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:28
+#: 5804e5a550694f35ba7b3710b6e053a1
+msgid "OPENAI Key"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:30
+#: 06f7ff947bc14784b304774946b621fa
+msgid "PROXY_API_KEY={your-openai-sk}"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:31
+#: ae34d3c9a4914ce29744ceb1589b18c9
+msgid "PROXY_SERVER_URL=https://api.openai.com/v1/chat/completions"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:33
+#: 1014a1617e7d46a6bccb28fdb0292134
+msgid "from https://bard.google.com/     f12-> application-> __Secure-1PSID"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:35
+#: 551d0dc883f141d4a692a0062c766106
+msgid "BARD_PROXY_API_KEY={your-bard-token}"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:38
+#: c0b88491521c45f0a5320c676b2bb72c
+msgid "DATABASE SETTINGS"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:39
+#: 831c7cba9b09499a92c4072cae486a93
+msgid "SQLite database (Current default database)"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:40
+#: 2eaaa662918244738f5a91b090b34c57
+msgid "LOCAL_DB_PATH=data/default_sqlite.db"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:41
+#: f2a89570e9334db6b0a274e4880c63ce
+msgid "LOCAL_DB_TYPE=sqlite # Database Type default:sqlite"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:43
+#: ed93685f20634c05b8cf11fd0dacce1b
+msgid "MYSQL database"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:44
+#: 769eb44abb0c4960a40e487bed7c42a0
+msgid "LOCAL_DB_TYPE=mysql"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:45
+#: 03219c94db144664894faddc398bf0ef
+msgid "LOCAL_DB_USER=root"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:46
+#: 951fcfc3621f45a8a12a2dd9c4b171e6
+msgid "LOCAL_DB_PASSWORD=aa12345678"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:47
+#: f60ad85f7deb497c9fe582c735dad911
+msgid "LOCAL_DB_HOST=127.0.0.1"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:48
+#: 47500d1a30124f07b612bf1038b6563f
+msgid "LOCAL_DB_PORT=3306"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:51
+#: 13f2e7f37f864f32ae5463a760790f5e
+msgid "EMBEDDING SETTINGS"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:52
+#: 7a5407c2a32645b1aaaf31237622a404
+msgid "EMBEDDING MODEL Name, see /pilot/configs/model_config.LLM_MODEL_CONFIG"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:53
+#: b4ca40b8dbfe467686d1a2634f2960f9
+msgid "EMBEDDING_MODEL=text2vec"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:55
+#: e1644a780b5f4070a27694d6015865e8
+msgid "Embedding Chunk size, default 500"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:57
+#: 9f462ca4c25c4b8bb9809425ec9cfb66
+msgid "KNOWLEDGE_CHUNK_SIZE=500"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:59
+#: 14ce15c1593b42db99f6b1891f1e8a46
+msgid "Embedding Chunk Overlap, default 100"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:60
+#: c21856a592924271bf1a655a8d552098
+msgid "KNOWLEDGE_CHUNK_OVERLAP=100"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:62
+#: 652b5c9891444333861d49d1f5a0029e
+msgid "embeding recall top k,5"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:64
+#: 3d4e24e414ac4d2ca44a92a9481abd94
+msgid "KNOWLEDGE_SEARCH_TOP_SIZE=5"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:66
+#: 1407a7fd19304c15bd5f71cb4e3c5871
+msgid "embeding recall max token ,2000"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:68
+#: 1b0a31eaaf554cd087646bf384d5ddbf
+msgid "KNOWLEDGE_SEARCH_MAX_TOKEN=5"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:71
+#: ../../getting_started/install/environment/environment.md:87
+#: 63dd3c374601464e8eae33fd7b2e28cc 94e2b09a85ea4883ab725dcd835ddd42
+msgid "Vector Store SETTINGS"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:72
+#: ../../getting_started/install/environment/environment.md:88
+#: 3ed000578b014afb9f04fdb64bbc03c4 7f99a645141544b783967ae5f0683087
+msgid "Chroma"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:73
+#: ../../getting_started/install/environment/environment.md:89
+#: 4e9e3e7bb12249bda66f5f87b9f722c4 645cf6085f924837836ec17dc895c498
+msgid "VECTOR_STORE_TYPE=Chroma"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:74
+#: ../../getting_started/install/environment/environment.md:90
+#: 5f0b5c13d8d241de89260842587f029a fa090522f5a941179c1240c2f31a6d6b
+msgid "MILVUS"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:75
+#: ../../getting_started/install/environment/environment.md:91
+#: 95a7301dbcfc42e38933a5b720c58477 e240454173ce4c9b9926cea648d63891
+msgid "VECTOR_STORE_TYPE=Milvus"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:76
+#: ../../getting_started/install/environment/environment.md:92
+#: 249a91c0245d42ce891ff0d7217fb0d5 8d8ca097f2ba49af802bbcb5bfe02a8a
+msgid "MILVUS_URL=127.0.0.1"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:77
+#: ../../getting_started/install/environment/environment.md:93
+#: 3180099b455a47aeb45701fbdc5e4e4d 9ebf3daaaa994b20880a77df05c55246
+msgid "MILVUS_PORT=19530"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:78
+#: ../../getting_started/install/environment/environment.md:94
+#: 7a6bf87bbc354d75bfb7cdbb19a79db5 ed7b14490c29444bb6aca8f8052c3fd6
+msgid "MILVUS_USERNAME"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:79
+#: ../../getting_started/install/environment/environment.md:95
+#: ca0ea23663d14ca884c35c75f3ec6762 fae03ba65210435fb4e1a840d0bf032c
+msgid "MILVUS_PASSWORD"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:80
+#: ../../getting_started/install/environment/environment.md:96
+#: 4112d34ad70c4e2281b16304cbe7d6b6 ab17c60241b0455580057b895041692c
+msgid "MILVUS_SECURE="
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:82
+#: ../../getting_started/install/environment/environment.md:98
+#: 48909fb9e190460b9c1b95534ffa0424 7e17a2d67a64471ebce8287c6c080afb
+msgid "WEAVIATE"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:83
+#: 3cade72e7b5d4befa3fc049cf21521cb
+msgid "VECTOR_STORE_TYPE=Weaviate"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:84
+#: ../../getting_started/install/environment/environment.md:99
+#: 264720556c5746a59dadad73427bcabd ff741c65112b45f0bed89390bf33cd03
+msgid "WEAVIATE_URL=https://kt-region-m8hcy0wc.weaviate.network"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:102
+#: 9536be75496642c6b5302f6afb60c340
+msgid "Multi-GPU Setting"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:103
+#: 5986cb5fb6b34decad59f3a161c23b07
+msgid ""
+"See https://developer.nvidia.com/blog/cuda-pro-tip-control-gpu-"
+"visibility-cuda_visible_devices/ If CUDA_VISIBLE_DEVICES is not "
+"configured, all available gpus will be used"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:106
+#: 5df0644d4a5f419287a9146eaddaffb6
+msgid "CUDA_VISIBLE_DEVICES=0"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:108
+#: 885df03d13914ea6a11a74063fc35b0a
+msgid ""
+"Optionally, you can also specify the gpu ID to use before the starting "
+"command"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:110
+#: 45b1a0051a5c402f863e14dc6fca47e8
+msgid "CUDA_VISIBLE_DEVICES=3,4,5,6"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:112
+#: ee9502fea64449e48c59948e8b4ecfb5
+msgid "You can configure the maximum memory used by each GPU."
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:114
+#: af8a98833c064fcfa7260ef0bf889c56
+msgid "MAX_GPU_MEMORY=16Gib"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:117
+#: 473f789502f945688862d2d9c9f2b4df
+msgid "Other Setting"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:118
+#: 04871b36ae4f47edbf20b5abdeb92cb2
+msgid "Language Settings(influence prompt language)"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:119
+#: 54b4cba342014d9ca1b35acc13d71e6e
+msgid "LANGUAGE=en"
+msgstr ""
+
+#: ../../getting_started/install/environment/environment.md:120
+#: db66e92d5c1447abb725c5286608a646
+msgid "LANGUAGE=zh"
+msgstr ""
+
--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/installation.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/installation.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 👏👏 0.3.0\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-07-13 15:39+0800\n"
+"POT-Creation-Date: 2023-08-16 18:31+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,67 +19,76 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"

-#: ../../getting_started/installation.md:1 bc5bfc8ebfc847c5a22f2346357cf747
-msgid "Installation"
-msgstr "安装dbgpt包指南"
+#: ../../getting_started/installation.md:1 f9e65f84d13249098aa2768bb7cc69ed
+msgid "Python SDK"
+msgstr ""

-#: ../../getting_started/installation.md:2 1aaef0db5ee9426aa337021d782666af
+#: ../../getting_started/installation.md:2 1902cffb20fe4994aecb577c1a3fa8bf
 msgid ""
 "DB-GPT provides a third-party Python API package that you can integrate "
 "into your own code."
 msgstr "DB-GPT提供了python第三方包，你可以在你的代码中引入"

-#: ../../getting_started/installation.md:4 de542f259e20441991a0e5a7d52769b8
+#: ../../getting_started/installation.md:4 908a7c1971d04e37bd5e88171bd93d3b
 msgid "Installation from Pip"
 msgstr "使用pip安装"

-#: ../../getting_started/installation.md:6 3357f019aa8249b292162de92757eec4
+#: ../../getting_started/installation.md:6 0eff7cb3c9c643e0884209daddf5d709
 msgid "You can simply pip install:"
 msgstr "你可以使用pip install"

-#: ../../getting_started/installation.md:12 9c610d593608452f9d7d8d7e462251e3
+#: ../../getting_started/installation.md:12 1b0f308412cd44bda55efff5830b99f3
 msgid "Notice:make sure python>=3.10"
 msgstr "注意:确保你的python版本>=3.10"

-#: ../../getting_started/installation.md:15 b2ed238c29bb40cba990068e8d7ceae7
+#: ../../getting_started/installation.md:15 bec8afbfa9af4594bb09307f92c617a4
 msgid "Environment Setup"
 msgstr "环境设置"

-#: ../../getting_started/installation.md:17 4804ad4d8edf44f49b1d35b271635fad
+#: ../../getting_started/installation.md:17 61f60acc7a6449ac974593bd5f164e3e
 msgid "By default, if you use the EmbeddingEngine api"
 msgstr "如果你想使用EmbeddingEngine api"

-#: ../../getting_started/installation.md:19 2205f69ec60d4f73bb3a93a583928455
+#: ../../getting_started/installation.md:19 f31d9989e0514881baed8c690bc8035a
 msgid "you will prepare embedding models from huggingface"
 msgstr "你需要从huggingface下载embedding models"

-#: ../../getting_started/installation.md:22 693c18a83f034dcc8c263674418bcde2
+#: ../../getting_started/installation.md:22 02eb7897412c4223a013e7921eaed253
 msgid "Notice make sure you have install git-lfs"
 msgstr "确保你已经安装了git-lfs"

-#: ../../getting_started/installation.md:30 dd8d0880b55e4c48bfc414f8cbdda268
+#: ../../getting_started/installation.md:30 ced612323d5b47d3b93febbc637515bd
 msgid "version:"
 msgstr "版本:"

-#: ../../getting_started/installation.md:31 731e634b96164efbbc1ce9fa88361b12
+#: ../../getting_started/installation.md:31 4c168bdddb664c76ad4c2be177ef01a0
 msgid "db-gpt0.3.0"
 msgstr "db-gpt0.3.0"

-#: ../../getting_started/installation.md:32 38fb635be4554d94b527c6762253d46d
+#: ../../getting_started/installation.md:32 9bc5bb66e7214ca0b945b6b46a989307
 msgid ""
 "[embedding_engine api](https://db-"
 "gpt.readthedocs.io/en/latest/modules/knowledge.html)"
-msgstr "[embedding_engine api](https://db-gpt.readthedocs.io/en/latest/modules/knowledge.html)"
+msgstr ""
+"[embedding_engine api](https://db-"
+"gpt.readthedocs.io/en/latest/modules/knowledge.html)"

-#: ../../getting_started/installation.md:33 a60b0ffe21a74ebca05529dc1dd1ba99
+#: ../../getting_started/installation.md:33 52e656e2f0ae46688a6456a441f9c1e5
 msgid ""
 "[multi source embedding](https://db-"
 "gpt.readthedocs.io/en/latest/modules/knowledge/pdf/pdf_embedding.html)"
-msgstr "[multi source embedding](https://db-gpt.readthedocs.io/en/latest/modules/knowledge/pdf/pdf_embedding.html)"
+msgstr ""
+"[multi source embedding](https://db-"
+"gpt.readthedocs.io/en/latest/modules/knowledge/pdf/pdf_embedding.html)"

-#: ../../getting_started/installation.md:34 3c752c9305414719bc3f561cf18a75af
+#: ../../getting_started/installation.md:34 726c87e53d8e4cd799d422aaf562fa29
 msgid ""
 "[vector connector](https://db-"
 "gpt.readthedocs.io/en/latest/modules/vector.html)"
-msgstr "[vector connector](https://db-gpt.readthedocs.io/en/latest/modules/vector.html)"
+msgstr ""
+"[vector connector](https://db-"
+"gpt.readthedocs.io/en/latest/modules/vector.html)"
+
+#~ msgid "Installation"
+#~ msgstr "安装dbgpt包指南"

--- a/docs/locales/zh_CN/LC_MESSAGES/getting_started/tutorials.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/getting_started/tutorials.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 0.3.0\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-07-12 16:23+0800\n"
+"POT-Creation-Date: 2023-08-16 18:31+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,25 +19,29 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"

-#: ../../getting_started/tutorials.md:1 cb100b89a2a747cd90759e415c737070
+#: ../../getting_started/tutorials.md:1 3e4b863de01942d5823d5dd3975bcb05
 msgid "Tutorials"
 msgstr "教程"

-#: ../../getting_started/tutorials.md:4 dbc2a2346b384cc3930086f97181b14b
+#: ../../getting_started/tutorials.md:4 bf8a3dc2c8d045d0b4668ecbd25c954d
 msgid "This is a collection of DB-GPT tutorials on Medium."
 msgstr "这是知乎上DB-GPT教程的集合。．"

-#: ../../getting_started/tutorials.md:6 67e5b6dbac654d428e6a8be9d1ec6473
+#: ../../getting_started/tutorials.md:6 e72430ed63ca4c13bab165d61293585a
 msgid ""
 "DB-GPT is divided into several functions, including chat with knowledge "
 "base, execute SQL, chat with database, and execute plugins."
 msgstr "DB-GPT包含以下功能，和知识库聊天，执行SQL，和数据库聊天以及执行插件。"

-#: ../../getting_started/tutorials.md:8 744aaec68aa3413c9b17b09714476d32
+#: ../../getting_started/tutorials.md:8 29cb77fcc97e494ba26ecd61fd21d84f
 msgid "Introduction"
 msgstr "介绍"

-#: ../../getting_started/tutorials.md:9 305bcf5e847a4322a2834b84fa3c694a
+#: ../../getting_started/tutorials.md:10 0158e41b603a47d8a8d0debcddc1d99c
+msgid "youtube"
+msgstr ""
+
+#: ../../getting_started/tutorials.md:11 bd8078ee97094559b3e9b4a90a89651a
 #, fuzzy
 msgid "[What is DB-GPT](https://www.youtube.com/watch?v=QszhVJerc0I)"
 msgstr ""
@@ -45,69 +49,75 @@ msgstr ""
 "GPT](https://www.bilibili.com/video/BV1SM4y1a7Nj/?buvid=551b023900b290f9497610b2155a2668&is_story_h5=false&mid=%2BVyE%2Fwau5woPcUKieCWS0A%3D%3D&p=1&plat_id=116&share_from=ugc&share_medium=iphone&share_plat=ios&share_session_id=5D08B533-82A4-4D40-9615-7826065B4574&share_source=GENERIC&share_tag=s_i&timestamp=1686307943&unique_k=bhO3lgQ&up_id=31375446)"
 "  by csunny (https://github.com/csunny/DB-GPT)"

-#: ../../getting_started/tutorials.md:11 22fdc6937b2248ae8f5a7ef385aa55d9
-#, fuzzy
-msgid "Knowledge"
-msgstr "知识库"
-
-#: ../../getting_started/tutorials.md:13 9bbf0f5aece64389b93b16235abda58e
+#: ../../getting_started/tutorials.md:13 0330432860384964804cc6ea9054d06b
 #, fuzzy
 msgid ""
-"[How to Create your own knowledge repository](https://db-"
-"gpt.readthedocs.io/en/latest/modules/knownledge.html)"
+"[How to deploy DB-GPT step by "
+"step](https://www.youtube.com/watch?v=OJGU4fQCqPs)"
 msgstr ""
-"[怎么创建自己的知识库](https://db-"
-"gpt.readthedocs.io/en/latest/modules/knowledge.html)"
+"###Introduction [什么是DB-"
+"GPT](https://www.bilibili.com/video/BV1SM4y1a7Nj/?buvid=551b023900b290f9497610b2155a2668&is_story_h5=false&mid=%2BVyE%2Fwau5woPcUKieCWS0A%3D%3D&p=1&plat_id=116&share_from=ugc&share_medium=iphone&share_plat=ios&share_session_id=5D08B533-82A4-4D40-9615-7826065B4574&share_source=GENERIC&share_tag=s_i&timestamp=1686307943&unique_k=bhO3lgQ&up_id=31375446)"
+"  by csunny (https://github.com/csunny/DB-GPT)"

-#: ../../getting_started/tutorials.md:15 ae201d75a3aa485e99b258103245db1c
-#, fuzzy
-msgid "![Add new Knowledge demonstration](../../assets/new_knownledge.gif)"
-msgstr "[新增知识库演示](../../assets/new_knownledge_en.gif)"
+#: ../../getting_started/tutorials.md:16 a5b7b6e46df040ddaea184487b6a6ba3
+msgid "bilibili"
+msgstr "bilibili"

-#: ../../getting_started/tutorials.md:15 e7bfb3396f7b42f1a1be9f29df1773a2
-#, fuzzy
-msgid "Add new Knowledge demonstration"
-msgstr "[新增知识库演示](../../assets/new_knownledge_en.gif)"
+#: ../../getting_started/tutorials.md:17 9da89100917742fca40ab71bc1283504
+msgid ""
+"[What is DB-"
+"GPT](https://www.bilibili.com/video/BV1SM4y1a7Nj/?spm_id_from=333.788&vd_source=7792e22c03b7da3c556a450eb42c8a0f)"
+msgstr "[DB-"
+"GPT介绍](https://www.bilibili.com/video/BV1SM4y1a7Nj/?spm_id_from=333.788&vd_source=7792e22c03b7da3c556a450eb42c8a0f)"

-#: ../../getting_started/tutorials.md:17 d37acc0486ec40309e7e944bb0458b0a
-msgid "SQL Generation"
-msgstr "SQL生成"
+#: ../../getting_started/tutorials.md:19 d0b58d505c774d0e867dbd87e703d4ed
+msgid ""
+"[How to deploy DB-GPT step by "
+"step](https://www.bilibili.com/video/BV1mu411Y7ve/?spm_id_from=pageDriver&vd_source=7792e22c03b7da3c556a450eb42c8a0f)"
+msgstr "[How to deploy DB-GPT step by "
+"step](https://www.bilibili.com/video/BV1mu411Y7ve/?spm_id_from=pageDriver&vd_source=7792e22c03b7da3c556a450eb42c8a0f)"

-#: ../../getting_started/tutorials.md:18 86a328c9e15f46679a2611f7162f9fbe
-#, fuzzy
-msgid "![sql generation demonstration](../../assets/demo_en.gif)"
-msgstr "[sql生成演示](../../assets/demo_en.gif)"
+#~ msgid "Knowledge"
+#~ msgstr "知识库"

-#: ../../getting_started/tutorials.md:18 03bc8d7320be44f0879a553a324ec26f
-#, fuzzy
-msgid "sql generation demonstration"
-msgstr "[sql生成演示](../../assets/demo_en.gif)"
+#~ msgid ""
+#~ "[How to Create your own knowledge "
+#~ "repository](https://db-"
+#~ "gpt.readthedocs.io/en/latest/modules/knownledge.html)"
+#~ msgstr ""
+#~ "[怎么创建自己的知识库](https://db-"
+#~ "gpt.readthedocs.io/en/latest/modules/knowledge.html)"

-#: ../../getting_started/tutorials.md:20 5f3b241f24634c09880d5de014f64f1b
-msgid "SQL Execute"
-msgstr "SQL执行"
+#~ msgid "![Add new Knowledge demonstration](../../assets/new_knownledge.gif)"
+#~ msgstr "[新增知识库演示](../../assets/new_knownledge_en.gif)"

-#: ../../getting_started/tutorials.md:21 13a16debf2624f44bfb2e0453c11572d
-#, fuzzy
-msgid "![sql execute demonstration](../../assets/auto_sql_en.gif)"
-msgstr "[sql execute 演示](../../assets/auto_sql_en.gif)"
+#~ msgid "Add new Knowledge demonstration"
+#~ msgstr "[新增知识库演示](../../assets/new_knownledge_en.gif)"

-#: ../../getting_started/tutorials.md:21 2d9673cfd48b49a5b1942fdc9de292bf
-#, fuzzy
-msgid "sql execute demonstration"
-msgstr "SQL执行演示"
+#~ msgid "SQL Generation"
+#~ msgstr "SQL生成"

-#: ../../getting_started/tutorials.md:23 8cc0c647ad804969b470b133708de37f
-#, fuzzy
-msgid "Plugins"
-msgstr "DB插件"
+#~ msgid "![sql generation demonstration](../../assets/demo_en.gif)"
+#~ msgstr "[sql生成演示](../../assets/demo_en.gif)"

-#: ../../getting_started/tutorials.md:24 cad5cc0cb94b42a1a6619bbd2a8b9f4c
-#, fuzzy
-msgid "![db plugins demonstration](../../assets/dashboard.png)"
-msgstr "[db plugins 演示](../../assets/dbgpt_bytebase_plugin.gif)"
+#~ msgid "sql generation demonstration"
+#~ msgstr "[sql生成演示](../../assets/demo_en.gif)"

-#: ../../getting_started/tutorials.md:24 adeee7ea37b743c9b251976124520725
-msgid "db plugins demonstration"
-msgstr "DB插件演示"
+#~ msgid "SQL Execute"
+#~ msgstr "SQL执行"
+
+#~ msgid "![sql execute demonstration](../../assets/auto_sql_en.gif)"
+#~ msgstr "[sql execute 演示](../../assets/auto_sql_en.gif)"
+
+#~ msgid "sql execute demonstration"
+#~ msgstr "SQL执行演示"
+
+#~ msgid "Plugins"
+#~ msgstr "DB插件"
+
+#~ msgid "![db plugins demonstration](../../assets/dashboard.png)"
+#~ msgstr "[db plugins 演示](../../assets/dbgpt_bytebase_plugin.gif)"
+
+#~ msgid "db plugins demonstration"
+#~ msgstr "DB插件演示"

--- a/docs/locales/zh_CN/LC_MESSAGES/modules/knowledge/string/string_embedding.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/modules/knowledge/string/string_embedding.po
@@ -0,0 +1,52 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023, csunny
+# This file is distributed under the same license as the DB-GPT package.
+# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: DB-GPT 👏👏 0.3.0\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-07-13 15:39+0800\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language: zh_CN\n"
+"Language-Team: zh_CN <LL@li.org>\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=utf-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: Babel 2.12.1\n"
+
+#: ../../modules/knowledge/string/string_embedding.md:1
+#: 0dbae4a197aa4e45a16cfd90c137c8f2
+msgid "String"
+msgstr ""
+
+#: ../../modules/knowledge/string/string_embedding.md:3
+#: bf9f445b1d2045848ad3c663e4551c1f
+msgid ""
+"string embedding can import a long raw text into a vector knowledge base."
+" The entire embedding process includes the read (loading data), "
+"data_process (data processing), and index_to_store (embedding to the "
+"vector database) methods."
+msgstr ""
+
+#: ../../modules/knowledge/string/string_embedding.md:5
+#: 4418539511024c2fa8cf1e73ade226a8
+msgid "inheriting the SourceEmbedding"
+msgstr ""
+
+#: ../../modules/knowledge/string/string_embedding.md:23
+#: 178050a4cdd6429aa73406043d89869b
+msgid ""
+"implement read() and data_process() read() method allows you to read data"
+" and split data into chunk"
+msgstr ""
+
+#: ../../modules/knowledge/string/string_embedding.md:32
+#: fdaf95f201624242bbfcff36480e1819
+msgid "data_process() method allows you to pre processing your ways"
+msgstr ""
+
--- a/pilot/configs/model_config.py
+++ b/pilot/configs/model_config.py
@@ -37,6 +37,10 @@ LLM_MODEL_CONFIG = {
    "vicuna-13b-v1.5": os.path.join(MODEL_PATH, "vicuna-13b-v1.5"),
    "vicuna-7b-v1.5": os.path.join(MODEL_PATH, "vicuna-7b-v1.5"),
    "text2vec": os.path.join(MODEL_PATH, "text2vec-large-chinese"),
+    #https://huggingface.co/moka-ai/m3e-large
+    "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"),
    "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"),