Metadata-Version: 2.1
Name: hwrag
Version: 0.0.5
Summary: A Python Toolkit for RAG to build a efficient and productive applicaton.
Home-page: https://git.jiankanghao.net/haiwei/hwrag
Author: HAIWEI AI Team
Author-email: huangxp@haiweikexin.com, jiny@haiweikexin.com
License: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Database
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: openpyxl
Requires-Dist: elasticsearch ==7.16.0
Requires-Dist: langchain
Requires-Dist: langchain-community
Requires-Dist: FlagEmbedding
Requires-Dist: langchain-openai
Requires-Dist: langchain-core
Requires-Dist: pymilvus ==2.2.8
Requires-Dist: decorator ==4.4.2
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pytest-cov ; extra == 'dev'
Requires-Dist: pytest-asyncio ; extra == 'dev'
Requires-Dist: rich ; extra == 'dev'

### ⚡hwrag: A Python Toolkit for RAG to build a efficient and productive applicaton

<p align="center">
<img src="asset/rag.jpg">
</p>

## Installation

To get started with hwrag, simply install (requires Python 3.9+):

```bash
pip install hwrag
```

## License

hwrag is licensed under the [MIT License](./LICENSE).

## Citation

If you used hwrag in your research, please cite as follows:

```latex
@misc{hwrag,
  title={hwrag: A Python Toolkit for RAG to build a efficient and productive applicaton.},
  author={Xinping Huang and Ye Jin},
  year={2024},
  howpublished={\url{https://github.com/huangxinping/hwrag}},
}
```
