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
SQL生成示例 ![SQL生成示例](https://github.com/csunny/DB-GPT/blob/dev/asserts/sql_generate.png =600x480)
数据库QA示例 ![数据库QA示例](https://github.com/csunny/DB-GPT/blob/dev/asserts/DB_QA.png =600x480)

Install

Run model server

cd pilot/server
python vicuna_server.py

Run gradio webui

python webserver.py

Featurs

SQL-Generate
Database-QA Based Knowledge
SQL-diagnosis