Update README.md

README.md

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 <img src="https://github.com/user-attachments/assets/e23d11d5-2d7b-44e2-aa11-59ddcb66bebc" align=left height=180px>
 
 ![Supported python versions](https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9%20%7C%203.10%20%7C%203.11-blue)
 [![PEP8](https://img.shields.io/badge/code%20style-pep8-black.svg)](https://www.python.org/dev/peps/pep-0008/)
 [![License](https://img.shields.io/badge/License-MIT%202.0-blue.svg)](LICENSE)
 [![Run Pytest](https://github.com/samadpls/BestRAG/actions/workflows/pytest.yml/badge.svg?branch=main)](https://github.com/samadpls/BestRAG/actions/workflows/pytest.yml)
 ![GitHub stars](https://img.shields.io/github/stars/samadpls/BestRAG?color=red&label=stars&logoColor=black&style=social)
-![PyPI - Downloads](https://img.shields.io/pypi/dm/bestrag?style=social)
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+![PyPI - Downloads](https://img.shields.io/pypi/dm/bestrag?style=social)  
 
 Introducing **BestRAG**! This Python library leverages a hybrid Retrieval-Augmented Generation (RAG) approach to efficiently store and retrieve embeddings. By combining dense, sparse, and late interaction embeddings, **BestRAG** offers a robust solution for managing large datasets.
 
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 ## ✨ Features
 
 🚀 **Hybrid RAG**: Utilizes dense, sparse, and late interaction embeddings for enhanced performance.  
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 > **Note**: Qdrant offers a free tier with 4GB of storage. To generate your API key and endpoint, visit [Qdrant](https://qdrant.tech/).
 
-## 🤝 Contributing
+## 🌐 Try it on Hugging Face Spaces  
+
+You can explore and interact with **BestRAG** directly on Hugging Face Spaces: [BestRAG on Hugging Face](https://huggingface.co/spaces/samadpls/BestRAG)  
+
+## 🤝 Contributing  
 
-Feel free to contribute to **BestRAG**! Whether it’s reporting bugs, suggesting features, or submitting pull requests, your contributions are welcome. 
+Feel free to contribute to **BestRAG**! Whether it’s reporting bugs, suggesting features, or submitting pull requests, your contributions are welcome.  
 
-## 📝 License
+## 📝 License  
 
-This project is licensed under the [MIT License](LICENSE).
+This project is licensed under the [MIT License](LICENSE).  
 
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-Created by [samadpls](https://github.com/samadpls) 🎉
+Created by [samadpls](https://github.com/samadpls) 🎉