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LangChainStudy

★ 407 Open GitHub ↗

这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。

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# LangChainStudy 📚🔗
![GitHub last commit](https://img.shields.io/github/last-commit/XingYu-Zhong/LangChainStudy)
![GitHub issues](https://img.shields.io/github/issues/XingYu-Zhong/LangChainStudy)
![GitHub pull requests](https://img.shields.io/github/issues-pr/XingYu-Zhong/LangChainStudy)
![GitHub](https://img.shields.io/github/license/XingYu-Zhong/LangChainStudy)

## 项目简介 🌟

这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。我们的目标是通过分享这些notebook来帮助开发者更好地理解和使用LangChain。

b站视频链接 🎥: [点击这里](https://www.bilibili.com/video/BV1Nh4y1c77H)

## 安装 🔧

1. 克隆这个仓库到你的本地环境：

```
    git clone https://github.com/XingYu-Zhong/LangChainStudy.git
    ```

2. 进入项目文件夹：

```
    cd LangChainStudy
    ```

3. 使用python3.10来安装必要的依赖。（确保使用python3.10）你可能需要根据你的环境进行一些调整：

```
    pip install -r requirements.txt
    ```

4. 打开Jupyter notebook：

```
    jupyter notebook
    ```

## 使用 🚀

在Jupyter notebook中打开任意一个notebook文件，并按照其中的指导进行操作。

## 贡献 ✨

如果你有任何问题或建议，或者你想添加你自己的notebook，欢迎提交Issue或Pull Request。

## 许可证 📜

本项目遵循MIT许可证。请查看[LICENSE](LICENSE)文件了解更多信息。

## 联系方式 💌

如果你有任何问题或反馈，请通过[提交一个Issue](https://github.com/XingYu-Zhong/LangChainStudy/issues/new)来联系我们。

## 📋Citation
If you find this project useful in your research, please consider cite:
```latex
@misc{LangChainStudy2023,
    title={{LangChainStudy} A open source langchain learning materials.},
    author={xingyu zhong},
    howpublished = {\url{https://github.com/XingYu-Zhong/LangChainStudy}},
    year={2023}
}
```
## 🤝 Contributing
<a href="https://github.com/XingYu-Zhong/LangChainStudy/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=XingYu-Zhong/LangChainStudy" />
</a>

## 🌟Star History
<picture>
  <source
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    srcset="
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    media="(prefers-color-scheme: light)"
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    "
  />
  <img
    alt="Star History Chart"
    src="https://api.star-history.com/svg?repos=XingYu-Zhong/LangChainStudy&type=Date"
  />
</picture>

LangChainStudy

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