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A Open Database-GPT Experiment, which based on vicuna-13b and fastchat, meanwhile it use langchain and llama-index for in-context learning and QA

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DB-GPT

A Open Database-GPT Experiment

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DB-GPT is an experimental open-source application that builds upon the fastchat model and uses vicuna as its base model. Additionally, it looks like this application incorporates langchain and llama-index embedding knowledge to improve Database-QA capabilities.

Overall, it appears to be a sophisticated and innovative tool for working with databases. If you have any specific questions about how to use or implement DB-GPT in your work, please let me know and I'll do my best to assist you.

Run on an RTX 4090 GPU (The origin mov not sped up!, YouTube地址)

  • 运行演示

![](https://github.com/csunny/DB-GPT/blob/dev/asserts/演示.gif)

- SQL生成示例


- 数据库QA示例

# Install 1. Run model server ``` cd pilot/server python vicuna_server.py ```
  1. Run gradio webui
python webserver.py 

Featurs

  • SQL-Generate
  • Database-QA Based Knowledge
  • SQL-diagnosis

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A Open Database-GPT Experiment, which based on vicuna-13b and fastchat, meanwhile it use langchain and llama-index for in-context learning and QA

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