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chores: add wechat + update readme
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README.md
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README.md
@ -60,39 +60,6 @@ https://github.com/csunny/DB-GPT/assets/13723926/55f31781-1d49-4757-b96e-7ef6d3d
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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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#### Chat with data, and figure charts.
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<p align="left">
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<img src="./assets/dashboard.png" width="800px" />
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</p>
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#### Text2SQL, generate SQL from chat
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<p align="left">
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<img src="./assets/chatSQL.png" width="800px" />
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</p>
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#### Chat with database meta information.
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<p align="left">
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<img src="./assets/chatdb.png" width="800px" />
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</p>
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#### Chat with data, and execute results.
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<p align="left">
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<img src="./assets/chatdata.png" width="800px" />
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</p>
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#### Knownledge space to manage docs.
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<p align="left">
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<img src="./assets/ks.png" width="800px" />
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</p>
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#### Chat with knowledge, such as txt、pdf、csv、words. etc
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<p align="left">
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<img src="./assets/chat_knowledge.png" width="800px" />
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</p>
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## Features
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Currently, we have released multiple key features, which are listed below to demonstrate our current capabilities:
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@ -123,9 +90,6 @@ Currently, we have released multiple key features, which are listed below to dem
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- Gorilla(7b,13b)
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- baichuan(7b,13b)
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[](https://star-history.com/#csunny/DB-GPT)
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## Introduction
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DB-GPT creates a vast model operating system using [FastChat](https://github.com/lm-sys/FastChat) and offers a large language model powered by [Vicuna](https://huggingface.co/Tribbiani/vicuna-7b). In addition, we provide private domain knowledge base question-answering capability. Furthermore, we also provide support for additional plugins, and our design natively supports the Auto-GPT plugin.Our vision is to make it easier and more convenient to build applications around databases and llm.
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@ -207,4 +171,4 @@ We are working on building a community, if you have any ideas about building the
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<p align="center">
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<img src="./assets/wechat.jpg" width="300px" />
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</p>
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</p>
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README.zh.md
14
README.zh.md
@ -56,7 +56,6 @@ 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/13723926/55f31781-1d49-4757-b96e-7ef6d3dbcf80
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#### 根据自然语言对话生成分析图表
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@ -112,10 +111,13 @@ https://github.com/csunny/DB-GPT/assets/13723926/55f31781-1d49-4757-b96e-7ef6d3d
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- 非结构化数据支持包括PDF、MarkDown、CSV、WebURL
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- 多模型支持
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- 支持多种大语言模型, 当前已支持Vicuna(7b,13b), ChatGLM-6b(int4,int8), guanaco(7b,13b,33b), Gorilla(7b,13b), 🔥 llama-2(7b,13b,70b), baichuan(7b,13b)
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[](https://star-history.com/#csunny/DB-GPT)
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- 支持多种大语言模型, 当前已支持如下模型:
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- Vicuna(7b,13b)
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- ChatGLM-6b(int4,int8)
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- guanaco(7b,13b,33b)
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- Gorilla(7b,13b)
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- 🔥 llama-2(7b,13b,70b)
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- baichuan(7b,13b)
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## 架构方案
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DB-GPT基于 [FastChat](https://github.com/lm-sys/FastChat) 构建大模型运行环境,并提供 vicuna 作为基础的大语言模型。此外,我们通过LangChain提供私域知识库问答能力。同时我们支持插件模式, 在设计上原生支持Auto-GPT插件。我们的愿景是让围绕数据库和LLM构建应用程序更加简便和便捷。
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@ -202,5 +204,3 @@ The MIT License (MIT)
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<img src="./assets/wechat.jpg" width="300px" />
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</p>
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