doc:readme and tutorial for DB-GPT

2025-09-01 17:16:51 +00:00 · 2023-06-30 18:10:31 +08:00
parent 6becd9746e
commit 185d8f2976
6 changed files with 161 additions and 156 deletions
--- a/docs/getting_started/getting_started.md
+++ b/docs/getting_started/getting_started.md
@@ -30,10 +30,16 @@ python>=3.10
 conda create -n dbgpt_env python=3.10
 conda activate dbgpt_env
 pip install -r requirements.txt
+```
+Before use DB-GPT Knowledge Management
+```
+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

+make sure you have install git-lfs
 ```
 git clone https://huggingface.co/Tribbiani/vicuna-13b 
 git clone https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
@@ -54,20 +60,30 @@ You can refer to this document to obtain the Vicuna weights: [Vicuna](https://gi

 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.

-1. Run server
+1. prepare server sql script
 ```bash
-$ python pilot/server/llmserver.py
+mysql> CREATE DATABASE knowledge_management;
+mysql> use knowledge_management;
+mysql> source ./assets/schema/knowledge_management.sql
 ```
+set .env configuration set your vector store type, eg:VECTOR_STORE_TYPE=Chroma, now we support Chroma and Milvus(version > 2.1)

-Starting `llmserver.py` with the following command will result in a relatively stable Python service with multiple processes.
-```bash
-$ gunicorn llmserver:app -w 4 -k uvicorn.workers.UvicornWorker -b 0.0.0.0:8000 &
-```

-Run gradio webui
+2. Run db-gpt server 

 ```bash
-$ python pilot/server/webserver.py
+$ python pilot/server/dbgpt_server.py
 ```

-Notice:  the webserver need to connect llmserver,  so you need change the .env file. change the MODEL_SERVER = "http://127.0.0.1:8000" to your address.  It's very important.
+3. Run new webui
+
+
+```bash
+$ cd datacenter
+$ npm i
+$ npm run dev
+```
+Notice: make sure node.js is the latest version, learn more about db-gt webui,
+read https://github.com/csunny/DB-GPT/tree/new-page-framework/datacenter
+
+Open http://localhost:3000 with your browser to see the result.
--- 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 0.1.0\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-06-14 21:47+0800\n"
+"POT-Creation-Date: 2023-06-30 17:16+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 d1c1cb0cdf374e60924001460f369485
+#: ../../getting_started/getting_started.md:1 2e1519d628044c07b384e8bbe441863a
 msgid "Quickstart Guide"
 msgstr "使用指南"

-#: ../../getting_started/getting_started.md:3 5c76cdb6530644ed872329ecc1bd51ec
+#: ../../getting_started/getting_started.md:3 00e8dc6e242d4f3b8b2fbc5e06f1f14e
 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 8c442e4870e549359920ec83d4a77083
+#: ../../getting_started/getting_started.md:5 4b4473a5fbd64cef996d82fa36abe136
 msgid "Installation"
 msgstr "安装"

-#: ../../getting_started/getting_started.md:7 d302009cb3f64959872d278c4aad7cfa
+#: ../../getting_started/getting_started.md:7 5ab3187dd2134afe958d83a431c98f43
 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 7deb38572ec74f5392ba09749a2b350b
+#: ../../getting_started/getting_started.md:9 7286e3a0da00450c9a6e9f29dbd27130
 msgid "1. Hardware Requirements"
 msgstr "1. 硬件要求"

-#: ../../getting_started/getting_started.md:10 7ee61b468637478cad173fa4685ef952
+#: ../../getting_started/getting_started.md:10 3f3d279ca8a54c8c8ed16af3e0ffb281
 msgid ""
 "As our project has the ability to achieve ChatGPT performance of over "
 "85%, there are certain hardware requirements. However, overall, the "
@@ -49,62 +49,62 @@ 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 e9f0871662384ab9a24711856a27fdfb
+#: ../../getting_started/getting_started.md 6e1e882511254687bd46fe45447794d1
 msgid "GPU"
 msgstr "GPU"

-#: ../../getting_started/getting_started.md 0dca27585b9c4357bd4f7b52ff664673
+#: ../../getting_started/getting_started.md f0ee9919e1254bcdbe6e489a5fbf450f
 msgid "VRAM Size"
 msgstr "显存大小"

-#: ../../getting_started/getting_started.md fe84cb97a226490eb940dfcf6e581272
+#: ../../getting_started/getting_started.md eed88601ef0b49b58d95b89928a3810e
 msgid "Performance"
 msgstr "显存大小"

-#: ../../getting_started/getting_started.md bfdc630854674c5db6be46114a67542d
+#: ../../getting_started/getting_started.md 4f717383ef2d4e2da9ee2d1c148aa6c5
 msgid "RTX 4090"
 msgstr "RTX 4090"

-#: ../../getting_started/getting_started.md 5e38a7184e024b09be3a858084b60344
-#: 629db58b707c48a2ae93d7396bcd0d67
+#: ../../getting_started/getting_started.md d2d9bd1b57694404b39cdef49fd5b570
+#: d7d914b8d5e34ac192b94d48f0ee1781
 msgid "24 GB"
 msgstr "24 GB"

-#: ../../getting_started/getting_started.md 625714d5b7cb4550a81305b5c2410980
+#: ../../getting_started/getting_started.md cb86730ab05e4172941c3e771384c4ba
 msgid "Smooth conversation inference"
 msgstr "可以流畅的进行对话推理，无卡顿"

-#: ../../getting_started/getting_started.md 8334aa5646b84a4ba6c0df7a55e52f6e
+#: ../../getting_started/getting_started.md 3e32d5c38bf6499cbfedb80944549114
 msgid "RTX 3090"
 msgstr "RTX 3090"

-#: ../../getting_started/getting_started.md 84771e5190084d6fab19fa8f3b5e2a30
+#: ../../getting_started/getting_started.md 1d3caa2a06844997ad55d20863559e9f
 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 0a539471bf6648e5827d9e10549b81e3
+#: ../../getting_started/getting_started.md b80ec359bd004d5f801ec09ca3b2d0ff
 msgid "V100"
 msgstr "V100"

-#: ../../getting_started/getting_started.md 8bed4645111a4001b5967678a54c6037
+#: ../../getting_started/getting_started.md aed55a6b8c8d49d9b9c02bfd5c10b062
 msgid "16 GB"
 msgstr "16 GB"

-#: ../../getting_started/getting_started.md f3ec49d1591d4cdc9f967c9df5bb8245
+#: ../../getting_started/getting_started.md dcd6daab75fe4bf8b8dd19ea785f0bd6
 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 6006a3d8744746dbab615b438eb6234b
+#: ../../getting_started/getting_started.md:18 e39a4b763ed74cea88d54d163ea72ce0
 msgid "2. Install"
 msgstr "2. 安装"

-#: ../../getting_started/getting_started.md:20 eea3037d218843b78e56412490ae6a62
+#: ../../getting_started/getting_started.md:20 9beba274b78a46c6aafb30173372b334
 msgid ""
 "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:25 4a220bf247c549eaa0d059f29e1c3a7d
+#: ../../getting_started/getting_started.md:25 3bce689bb49043eca5b9aa3c5525eaac
 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 "
@@ -117,7 +117,11 @@ 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:35 b51c85b6ec0f4c45afc648d98424a79f
+#: ../../getting_started/getting_started.md:34 61ad49740d0b49afa254cb2d10a0d2ae
+msgid "Before use DB-GPT Knowledge Management"
+msgstr "使用知识库管理功能之前"
+
+#: ../../getting_started/getting_started.md:40 656041e456f248a0a472be06357d7f89
 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 "
@@ -126,24 +130,28 @@ 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:43 617f2b53e33e4e7a96b3aef879a1ebe7
+#: ../../getting_started/getting_started.md:42 4dfb7d63fdf544f2bf9dd8663efa8d31
+msgid "make sure you have install git-lfs"
+msgstr "确保你已经安装了git-lfs"
+
+#: ../../getting_started/getting_started.md:50 a52c137b8ef54b7ead41a2d8ff81d457
 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:49 0f403de4e9574c3a9058495df8c21961
+#: ../../getting_started/getting_started.md:56 db87d872a47047dc8cd1de390d068ed4
 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:51 e3dce051a2e64478872433890b06cb5d
+#: ../../getting_started/getting_started.md:58 c8865a327b4b44daa55813479c743e3c
 msgid "3. Run"
 msgstr "3. 运行"

-#: ../../getting_started/getting_started.md:52 b7ec5fab25b249b5bc811d08049307c3
+#: ../../getting_started/getting_started.md:59 e81dabe730134753a4daa05a7bdd44af
 msgid ""
 "You can refer to this document to obtain the Vicuna weights: "
 "[Vicuna](https://github.com/lm-sys/FastChat/blob/main/README.md#model-"
@@ -152,7 +160,7 @@ 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:54 6cab130775394122bfb040ea9797c694
+#: ../../getting_started/getting_started.md:61 714cbc9485ea47d0a06aa1a31b9af3e3
 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 "
@@ -161,33 +169,52 @@ 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:56 381fc71965dd44adac2141677e0dd085
-msgid "Run server"
+#: ../../getting_started/getting_started.md:63 2b8f6985fe1a414e95d334d3ee9d0878
+msgid "prepare server sql script"
+msgstr "准备db-gpt server sql脚本"
+
+#: ../../getting_started/getting_started.md:69 7cb9beb0e15a46759dbcb4606dcb6867
+msgid ""
+"set .env configuration set your vector store type, "
+"eg:VECTOR_STORE_TYPE=Chroma, now we support Chroma and Milvus(version > "
+"2.1)"
+msgstr "在.env文件设置向量数据库环境变量，eg:VECTOR_STORE_TYPE=Chroma, 目前我们支持了 Chroma and Milvus(version >2.1) "
+
+#: ../../getting_started/getting_started.md:72 cdb7ef30e8c9441293e8b3fd95d621ed
+#, fuzzy
+msgid "Run db-gpt server"
 msgstr "运行模型服务"

-#: ../../getting_started/getting_started.md:61 47001c4d9f9449fab0dadefd02b76f6d
-msgid ""
-"Starting `llmserver.py` with the following command will result in a "
-"relatively stable Python service with multiple processes."
-msgstr ""
-
-#: ../../getting_started/getting_started.md:66 ae3b8aa1e8694715a721717ab4bc182e
-msgid "Run gradio webui"
+#: ../../getting_started/getting_started.md:78 10fdefed00d34863819fffca48ca5bea
+#, fuzzy
+msgid "Run new webui"
 msgstr "运行模型服务"

-#: ../../getting_started/getting_started.md:72 0ad4bbedf5ed498686dafb8b148bf63c
+#: ../../getting_started/getting_started.md:86 60b48f6f0a7f43efa30c636a127860b6
 msgid ""
-"Notice:  the webserver need to connect llmserver,  so you need change the"
-" .env file. change the MODEL_SERVER = \"http://127.0.0.1:8000\" to your "
-"address.  It's very important."
-msgstr ""
-"注意: 在启动Webserver之前, 需要修改.env 文件中的MODEL_SERVER = "
-"\"http://127.0.0.1:8000\", 将地址设置为你的服务器地址。"
+"Notice: make sure node.js is the latest version, learn more about db-gpt "
+"webui, read https://github.com/csunny/DB-GPT/tree/new-page-"
+"framework/datacenter"
+msgstr "确保node.js是最新的版本，想知道更多请访问https://github.com/csunny/DB-GPT/tree/new-page-framework/datacenter,"
+
+#: ../../getting_started/getting_started.md:89 e7bb3001d46b458aa0c522c4a7a8d45b
+msgid "Open http://localhost:3000 with your browser to see the result."
+msgstr "打开浏览器访问http://localhost:3000"

 #~ msgid ""
 #~ "Starting `llmserver.py` with the following "
 #~ "command will result in a relatively "
 #~ "stable Python service with multiple "
 #~ "processes."
-#~ msgstr "使用以下命令启动llmserver.py将会得到一个相对稳定的Python服务，并且具有多个进程。"
+#~ msgstr ""
+
+#~ msgid ""
+#~ "Notice:  the webserver need to connect"
+#~ " llmserver,  so you need change the"
+#~ " .env file. change the MODEL_SERVER ="
+#~ " \"http://127.0.0.1:8000\" to your address.  "
+#~ "It's very important."
+#~ msgstr ""
+#~ "注意: 在启动Webserver之前, 需要修改.env 文件中的MODEL_SERVER "
+#~ "= \"http://127.0.0.1:8000\", 将地址设置为你的服务器地址。"

--- 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 0.1.0\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-06-19 19:10+0800\n"
+"POT-Creation-Date: 2023-06-30 17:16+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 +19,25 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"

-#: ../../getting_started/tutorials.md:1 23db0155c8ae4a2288cbf9137599c973
+#: ../../getting_started/tutorials.md:1 e494f27e68fd40efa2864a532087cfef
 msgid "Tutorials"
 msgstr "教程"

-#: ../../getting_started/tutorials.md:4 8f2b93792b1947b7a544623ec637dd48
+#: ../../getting_started/tutorials.md:4 8eecfbf3240b44fcb425034600316cea
 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 7216c2d145674002bd82b1134aae9377
+#: ../../getting_started/tutorials.md:6 a40601867a3d4ce886a197f2f337ec0f
 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 726f4394d6214c45979995ce521f8964
+#: ../../getting_started/tutorials.md:8 493e6f56a75d45ef8bb15d3049a24994
 msgid "Introduction"
 msgstr "介绍"

-#: ../../getting_started/tutorials.md:9 16c9deecc5b848a2a17eccb0f2cbdafd
+#: ../../getting_started/tutorials.md:9 4526a793cdb94b8f99f41c48cd5ee453
 #, fuzzy
 msgid "[What is DB-GPT](https://www.youtube.com/watch?v=QszhVJerc0I)"
 msgstr ""
@@ -45,12 +45,12 @@ 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 461a585616ae49518a8e314d13bb886c
+#: ../../getting_started/tutorials.md:11 95313384e5da4f5db96ac990596b2e73
 #, fuzzy
 msgid "Knowledge"
 msgstr "知识库"

-#: ../../getting_started/tutorials.md:13 4fa6c8d8ec5e43fcb4e79443c83a68ae
+#: ../../getting_started/tutorials.md:13 e7a141f4df8d4974b0797dd7723c4658
 #, fuzzy
 msgid ""
 "[How to Create your own knowledge repository](https://db-"
@@ -59,54 +59,55 @@ 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:15 c03c45687f6b46f1a8da8085b45cee98
+#: ../../getting_started/tutorials.md:15 f7db5b05a2db44e6a98b7d0df0a6f4ee
 #, 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:15 efacc5af342248f4935e401ed044ec9e
+#: ../../getting_started/tutorials.md:15 1a1647a7ca23423294823529301dd75f
 #, fuzzy
 msgid "Add new Knowledge demonstration"
 msgstr "[新增知识库演示](../../assets/new_knownledge_en.gif)"

-#: ../../getting_started/tutorials.md:17 dcdb8d1e73f241649756a126e1ddc185
+#: ../../getting_started/tutorials.md:17 de26224a814e4c6798d3a342b0f0fe3a
 msgid "SQL Generation"
 msgstr "SQL生成"

-#: ../../getting_started/tutorials.md:18 517960225da64780afc858958ab34446
+#: ../../getting_started/tutorials.md:18 f8fe82c554424239beb522f94d285c52
 #, fuzzy
 msgid "![sql generation demonstration](../../assets/demo_en.gif)"
 msgstr "[sql生成演示](../../assets/demo_en.gif)"

-#: ../../getting_started/tutorials.md:18 1e1a38abf60241058ee7a50759f9c426
+#: ../../getting_started/tutorials.md:18 41e932b692074fccb8059cadb0ed320e
 #, fuzzy
 msgid "sql generation demonstration"
 msgstr "[sql生成演示](../../assets/demo_en.gif)"

-#: ../../getting_started/tutorials.md:20 7bec46758a5e4581a0d1636fb32ac2b8
+#: ../../getting_started/tutorials.md:20 78bda916272f4cf99e9b26b4d9ba09ab
 msgid "SQL Execute"
 msgstr "SQL执行"

-#: ../../getting_started/tutorials.md:21 64cd323f38694ae4aa4cb49303041742
+#: ../../getting_started/tutorials.md:21 53cc83de34784c3c8d4d8204eacccbe9
 #, fuzzy
 msgid "![sql execute demonstration](../../assets/auto_sql_en.gif)"
 msgstr "[sql execute 演示](../../assets/auto_sql_en.gif)"

-#: ../../getting_started/tutorials.md:21 2c6d6c7428c3487eb969f87ccbc00961
+#: ../../getting_started/tutorials.md:21 535c06f487ed4d15a6cdd17a0154d798
 #, fuzzy
 msgid "sql execute demonstration"
 msgstr "SQL执行演示"

-#: ../../getting_started/tutorials.md:23 4ff018bac02f45fe8da5b649c501bf6b
+#: ../../getting_started/tutorials.md:23 0482e6155dc44843adc3a3aa77528f03
 #, fuzzy
 msgid "Plugins"
 msgstr "DB插件"

-#: ../../getting_started/tutorials.md:24 0ea9c7c5fd5e4457a41602467758fd47
+#: ../../getting_started/tutorials.md:24 632617dd88fe4688b789fbb941686c0f
 #, fuzzy
-msgid "![db plugins demonstration](../../assets/dbgpt_bytebase_plugin.gif)"
+msgid "![db plugins demonstration](../../assets/chart_db_city_users.png)"
 msgstr "[db plugins 演示](../../assets/dbgpt_bytebase_plugin.gif)"

-#: ../../getting_started/tutorials.md:24 98a384eb772e44c2954ccd7989c5905f
+#: ../../getting_started/tutorials.md:24 020ff499469145f0a34ac468fff91948
 msgid "db plugins demonstration"
 msgstr "DB插件演示"
+
--- a/docs/locales/zh_CN/LC_MESSAGES/modules/llms.po
+++ b/docs/locales/zh_CN/LC_MESSAGES/modules/llms.po
@@ -8,7 +8,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: DB-GPT 0.2.3\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2023-06-14 22:33+0800\n"
+"POT-Creation-Date: 2023-06-30 17:16+0800\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh_CN\n"
@@ -19,11 +19,11 @@ msgstr ""
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.12.1\n"

-#: ../../modules/llms.md:1 7737e31f5fcc4dc4be573a0bb73ca419
+#: ../../modules/llms.md:1 7fa87bcbc5de40b2902c41545027d8b8
 msgid "LLMs"
 msgstr "大语言模型"

-#: ../../modules/llms.md:3 8a8422f18e5d4c7aa1c1abf3a89f5d27
+#: ../../modules/llms.md:3 48a7c98128114cf58c57c41575ae53a6
 #, python-format
 msgid ""
 "In the underlying large model integration, we have designed an open "
@@ -36,23 +36,23 @@ msgid ""
 "of use."
 msgstr "在底层大模型接入中，我们设计了开放的接口，支持对接多种大模型。同时对于接入模型的效果，我们有非常严格的把控与评审机制。对大模型能力上与ChatGPT对比，在准确率上需要满足85%以上的能力对齐。我们用更高的标准筛选模型，是期望在用户使用过程中，可以省去前面繁琐的测试评估环节。"

-#: ../../modules/llms.md:5 c48ee3f4c51c49ae9dba40b1854dd483
+#: ../../modules/llms.md:5 8d162757e5934dca9395605a5809193a
 msgid "Multi LLMs Usage"
 msgstr "多模型使用"

-#: ../../modules/llms.md:6 ad44cef629f64bf4a4d72431568149fe
+#: ../../modules/llms.md:6 b1a5b940bee64aaa8945c078f9788459
 msgid ""
 "To use multiple models, modify the LLM_MODEL parameter in the .env "
 "configuration file to switch between the models."
 msgstr "如果要使用不同的模型，请修改.env配置文件中的LLM MODEL参数以在模型之间切换。"

-#: ../../modules/llms.md:8 b08325fd36af4ef582c8a46685986aaf
+#: ../../modules/llms.md:8 77c89d2a77d64b8aa6796c59aad07ed2
 msgid ""
 "Notice: you can create .env file from .env.template, just use command "
 "like this:"
 msgstr "注意:你可以从 .env.template 创建 .env 文件。只需使用如下命令:"

-#: ../../modules/llms.md:14 75ec45409dc84fd9bf3dfa98835d4645
+#: ../../modules/llms.md:14 4fc870de8fc14861a97a5417a9e886f4
 msgid ""
 "now we support models vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, "
 "guanaco-33b-merged, falcon-40b, gorilla-7b."
@@ -60,29 +60,36 @@ msgstr ""
 "现在我们支持的模型有vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, guanaco-33b-"
 "merged, falcon-40b, gorilla-7b."

-#: ../../modules/llms.md:16 a6e99cf291e049c99e2d6813d03b0427
+#: ../../modules/llms.md:16 76cd62716d864bc48c362a5f095dbe94
 msgid ""
 "if you want use other model, such as chatglm-6b, you just need update "
 ".env config file."
 msgstr "如果你想使用其他模型，比如chatglm-6b, 仅仅需要修改.env 配置文件"

-#: ../../modules/llms.md:21 1b9a9aa83dc7420fb5c6c17c982abb20
+#: ../../modules/llms.md:20 be990b58d30c469486c21e4a11739274
+msgid ""
+"or chatglm2-6b, which  is the second-generation version of the open-"
+"source bilingual (Chinese-English) chat model ChatGLM-6B."
+msgstr ""
+
+#: ../../modules/llms.md:27 52b37848bd8345aea6a5a331019a01cd
 msgid "Run Model with cpu."
 msgstr "用CPU运行模型"

-#: ../../modules/llms.md:22 e6bdeeca06764ed583154ddc78f0f26e
+#: ../../modules/llms.md:28 e3090ffbb05646e6af1b0eebedabc9e6
 msgid ""
 "we alse support smaller models, like gpt4all.  you can use it with "
 "cpu/mps(M1/M2), Download from [gpt4all model](https://gpt4all.io/models"
 "/ggml-gpt4all-j-v1.3-groovy.bin)"
-msgstr "我们也支持一些小模型，你可以通过CPU/MPS(M1、M2)运行, 模型下载[gpt4all](https://gpt4all.io/models"
+msgstr ""
+"我们也支持一些小模型，你可以通过CPU/MPS(M1、M2)运行, 模型下载[gpt4all](https://gpt4all.io/models"
 "/ggml-gpt4all-j-v1.3-groovy.bin)"

-#: ../../modules/llms.md:24 da5b575421ef45e7ad0f56fac151948d
+#: ../../modules/llms.md:30 67b0f633acee493d86033806a5f0db9a
 msgid "put it in the models path, then change .env config."
 msgstr "将模型放在models路径, 修改.env 配置文件"

-#: ../../modules/llms.md:29 03453d147e64404ab2c116faf0147b70
+#: ../../modules/llms.md:35 f1103e6c60b44657ba47129f97156251
 msgid ""
 "DB-GPT provides a model load adapter and chat adapter. load adapter which"
 " allows you to easily adapt load different LLM models by inheriting the "
@@ -91,15 +98,15 @@ msgstr ""
 "DB-GPT提供了多模型适配器load adapter和chat adapter.load adapter通过继承BaseLLMAdapter类,"
 " 实现match和loader方法允许你适配不同的LLM."

-#: ../../modules/llms.md:31 06b14da2931349859182473cd79abd68
+#: ../../modules/llms.md:37 768ae456f55b4b1894d7dff43c7a7f01
 msgid "vicuna llm load adapter"
 msgstr "vicuna llm load adapter"

-#: ../../modules/llms.md:48 fe7be51e9e2240c1882ef05f94a39d90
+#: ../../modules/llms.md:54 5364ea2d1b2e4759a98045b4ff7be4fe
 msgid "chatglm load adapter"
 msgstr "chatglm load adapter"

-#: ../../modules/llms.md:75 3535d4e0a0b946a49ed13710ae0ae5f3
+#: ../../modules/llms.md:81 eb7e5dc538a14a67b030b7a8b89a8e8a
 msgid ""
 "chat adapter which allows you to easily adapt chat different LLM models "
 "by inheriting the BaseChatAdpter.you just implement match() and "
@@ -108,43 +115,43 @@ msgstr ""
 "chat "
 "adapter通过继承BaseChatAdpter允许你通过实现match和get_generate_stream_func方法允许你适配不同的LLM."

-#: ../../modules/llms.md:77 b8dba90d769d45f090086fa044f22a96
+#: ../../modules/llms.md:83 f8e2cbbbf1e64b07af1a18bc089d268f
 msgid "vicuna llm chat adapter"
 msgstr "vicuna llm chat adapter"

-#: ../../modules/llms.md:89 f1d6e8145f704b5bbd1c49224c1e30f9
+#: ../../modules/llms.md:95 dba52e8a07354536bbfa38319129b98f
 msgid "chatglm llm chat adapter"
 msgstr "chatglm llm chat adapter"

-#: ../../modules/llms.md:102 295e498cec384d9589431b1d5942f590
+#: ../../modules/llms.md:108 3b9b667a154f4123ac0c2618ce9a8626
 msgid ""
 "if you want to integrate your own model, just need to inheriting "
 "BaseLLMAdaper and BaseChatAdpter and implement the methods"
 msgstr "如果你想集成自己的模型，只需要继承BaseLLMAdaper和BaseChatAdpter类，然后实现里面的方法即可"

-#: ../../modules/llms.md:104 07dd4757b06440fe8e9959446ff05892
+#: ../../modules/llms.md:110 713bb7cbd7644cc3b3734901b46d3ee0
 #, fuzzy
 msgid "Multi Proxy LLMs"
 msgstr "多模型使用"

-#: ../../modules/llms.md:105 1b9fc9ce08b94f6493f4b6ce51878fe2
+#: ../../modules/llms.md:111 125f310663e54a5b9a78f036df2c7062
 msgid "1. Openai proxy"
 msgstr ""

-#: ../../modules/llms.md:106 64e44b3c7c254034a1f72d2e362f4c4d
+#: ../../modules/llms.md:112 56a578a5e1234fe38a61eacd74d52b93
 msgid ""
 "If you haven't deployed a private infrastructure for a large model, or if"
 " you want to use DB-GPT in a low-cost and high-efficiency way, you can "
 "also use OpenAI's large model as your underlying model."
 msgstr ""

-#: ../../modules/llms.md:108 bca7d8118cd546ca8160400fe729be89
+#: ../../modules/llms.md:114 ce9d8db45c0441a59dc67babedfa1829
 msgid ""
 "If your environment deploying DB-GPT has access to OpenAI, then modify "
 "the .env configuration file as below will work."
 msgstr ""

-#: ../../modules/llms.md:116 7b84ddb937954787b4c8422f743afeda
+#: ../../modules/llms.md:122 cc81057c5bb6453e90bd5ab6c5d29c19
 msgid ""
 "If you can't access OpenAI locally but have an OpenAI proxy service, you "
 "can configure as follows."