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@@ -9,7 +9,7 @@ A Open Database-GPT Experiment, A fully localized project.
## 项目方案
<img src="https://github.com/csunny/DB-GPT/blob/main/asserts/pilot.png" width="600" margin-left="auto" margin-right="auto" >
<img src="https://github.com/csunny/DB-GPT/blob/main/assets/pilot.png" width="600" margin-left="auto" margin-right="auto" >
[DB-GPT](https://github.com/csunny/DB-GPT) is an experimental open-source application that builds upon the [FastChat](https://github.com/lm-sys/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.
@@ -20,25 +20,25 @@ Overall, it appears to be a sophisticated and innovative tool for working with d
Run on an RTX 4090 GPU (The origin mov not sped up!, [YouTube地址](https://www.youtube.com/watch?v=1PWI6F89LPo))
- 运行演示
![](https://github.com/csunny/DB-GPT/blob/main/asserts/演示.gif)
![](https://github.com/csunny/DB-GPT/blob/main/assers/演示.gif)
- SQL生成示例
首先选择对应的数据库, 然后模型即可根据对应的数据库Schema信息生成SQL
<img src="https://github.com/csunny/DB-GPT/blob/main/asserts/SQLGEN.png" width="600" margin-left="auto" margin-right="auto" >
<img src="https://github.com/csunny/DB-GPT/blob/main/assers/SQLGEN.png" width="600" margin-left="auto" margin-right="auto" >
The Generated SQL is runable.
<img src="https://github.com/csunny/DB-GPT/blob/main/asserts/exeable.png" width="600" margin-left="auto" margin-right="auto" >
<img src="https://github.com/csunny/DB-GPT/blob/main/assets/exeable.png" width="600" margin-left="auto" margin-right="auto" >
- 数据库QA示例
<img src="https://github.com/csunny/DB-GPT/blob/main/asserts/DB_QA.png" margin-left="auto" margin-right="auto" width="600">
<img src="https://github.com/csunny/DB-GPT/blob/main/assets/DB_QA.png" margin-left="auto" margin-right="auto" width="600">
基于默认内置知识库QA
<img src="https://github.com/csunny/DB-GPT/blob/main/asserts/VectorDBQA.png" width="600" margin-left="auto" margin-right="auto" >
<img src="https://github.com/csunny/DB-GPT/blob/main/assets/VectorDBQA.png" width="600" margin-left="auto" margin-right="auto" >
# Dependencies
1. First you need to install python requirements.