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@ -6,6 +6,9 @@ A Open Database-GPT Experiment
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[DB-GPT](https://github.com/csunny/DB-GPT) 是一个实验性的开源应用程序,它基于[FastChat](https://github.com/lm-sys/FastChat),并使用[vicuna-13b](https://huggingface.co/Tribbiani/vicuna-13b)作为基础模型。此外,此程序结合了[langchain](https://github.com/hwchase17/langchain)和[llama-index](https://github.com/jerryjliu/llama_index)基于现有知识库进行[In-Context Learning](https://arxiv.org/abs/2301.00234)来对其进行数据库相关知识的增强。它可以进行SQL生成、SQL诊断、数据库知识问答等一系列的工作。
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## 项目方案
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[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.
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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.
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@ -15,6 +18,7 @@ Run on an RTX 4090 GPU (The origin mov not sped up!, [YouTube地址](https://www
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- SQL生成示例
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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
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