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doc:new dbgpt_demo.gif and readme
1.readme update 2.new dbgpt_demo.gif
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README.md
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README.md
@ -21,13 +21,13 @@ As large models are released and iterated upon, they are becoming increasingly i
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DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and environment. With this solution, you can be assured that there is no risk of data leakage, and your data is 100% private and secure.
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## News
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- [2023/06/30]🔥DB-GPT product. [documents](https://db-gpt.readthedocs.io/en/latest/modules/llms.html)
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- [2023/07/06]🔥🔥🔥Brand-new DB-GPT product with a brand-new web UI. [documents](https://db-gpt.readthedocs.io/en/latest/getting_started/getting_started.html)
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- [2023/06/25]🔥support chatglm2-6b model. [documents](https://db-gpt.readthedocs.io/en/latest/modules/llms.html)
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- [2023/06/14] support gpt4all model, which can run at M1/M2, or cpu machine. [documents](https://db-gpt.readthedocs.io/en/latest/modules/llms.html)
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- [2023/06/01]🔥 On the basis of the Vicuna-13B basic model, task chain calls are implemented through plugins. For example, the implementation of creating a database with a single sentence.[demo](./assets/auto_plugin.gif)
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- [2023/06/01]🔥 QLoRA guanaco(7b, 13b, 33b) support.
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- [2023/05/28] Learning from crawling data from the Internet [demo](./assets/chaturl_en.gif)
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- [2023/05/21] Generate SQL and execute it automatically. [demo](./assets/auto_sql_en.gif)
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- [2023/05/28] Learning from crawling data from the Internet [demo](./assets/dbgpt_demo.gif)
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- [2023/05/21] Generate SQL and execute it automatically. [demo](./assets/chat-data.gif)
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- [2023/05/15] Chat with documents. [demo](./assets/new_knownledge_en.gif)
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- [2023/05/06] SQL generation and diagnosis. [demo](./assets/demo_en.gif)
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@ -35,19 +35,17 @@ DB-GPT is an experimental open-source project that uses localized GPT large mode
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Run on an RTX 4090 GPU.
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https://github.com/csunny/DB-GPT/assets/dbgpt_demo.mp4
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<p align="left">
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<img src="./assets/dbgpt_demo.gif" width="800px" />
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</p>
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<!-- <video id="video" controls="" preload="auto" poster="assets/exector_sql.png">
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<source id="mp4" src="https://github.com/csunny/DB-GPT/assets/17919400/654b5a49-5ea4-4c02-b5b2-72d089dcc1f0" type="video/mp4">
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</videos> -->
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<p align="left">
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<img src="./assets/exector_sql.png" width="800px" />
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</p>
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<p align="left">
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<img src="./assets/auto_sql_en.gif" width="800px" />
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</p>
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## Features
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README.zh.md
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README.zh.md
@ -23,7 +23,7 @@ DB-GPT 是一个开源的以数据库为基础的GPT实验项目,使用本地
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## 最新发布
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- [2023/06/30]🔥 DB-GPT产品。 [使用文档](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/modules/llms.html)
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- [2023/07/06]🔥🔥🔥 全新的DB-GPT产品。 [使用文档](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/getting_started/getting_started.html)
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- [2023/06/25]🔥 支持ChatGLM2-6B模型。 [使用文档](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/modules/llms.html)
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- [2023/06/14]🔥 支持gpt4all模型,可以在M1/M2 或者CPU机器上运行。 [使用文档](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/modules/llms.html)
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- [2023/06/01]🔥 在Vicuna-13B基础模型的基础上,通过插件实现任务链调用。例如单句创建数据库的实现.
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@ -58,24 +58,8 @@ DB-GPT 是一个开源的以数据库为基础的GPT实验项目,使用本地
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示例通过 RTX 4090 GPU 演示
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https://github.com/csunny/DB-GPT/assets/17919400/654b5a49-5ea4-4c02-b5b2-72d089dcc1f0
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<!-- <video id="video" controls="" preload="auto" poster="assets/exector_sql.png">
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<source id="mp4" src="https://github.com/csunny/DB-GPT/assets/17919400/654b5a49-5ea4-4c02-b5b2-72d089dcc1f0" type="video/mp4">
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</videos> -->
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<p align="left">
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<img src="./assets/auto_sql.gif" width="800px" />
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</p>
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<p align="left">
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<img src="./assets/chat_url_zh.gif" width="800px" />
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</p>
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<p align="left">
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<img src="./assets/new_knownledge.gif" width="800px" />
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<img src="./assets/dbgpt_demo.gif" width="800px" />
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</p>
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## 架构方案
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@ -107,9 +91,6 @@ DB-GPT基于 [FastChat](https://github.com/lm-sys/FastChat) 构建大模型运
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### 多模型使用
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[使用指南](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/modules/llms.html)
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### 打造属于你的知识库
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- [参考手册](https://db-gpt.readthedocs.io/projects/db-gpt-docs-zh-cn/zh_CN/latest/modules/knowledge.html)
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如果在使用知识库时遇到与nltk相关的错误,您需要安装nltk工具包。更多详情,请参见:[nltk文档](https://www.nltk.org/data.html)
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Run the Python interpreter and type the commands:
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