Update README.md

README.md

@@ -10,5 +10,59 @@ pinned: false
 license: mit
 short_description: Chat with your docs very Easy
 ---
+# Easy RAG 🤖
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Easy RAG is a powerful and user-friendly Retrieval Augmented Generation (RAG) system that allows users to upload their own documents and query them using state-of-the-art language models.
+
+## Features
+
+- 📄 Support for multiple document formats (PDF, TXT, DOCX)
+- 📚 Upload up to 5 documents (max 10MB each)
+- 🔍 Advanced document processing and chunking
+- 💡 Intelligent question answering using Llama-2
+- 🌐 Multilingual support
+- 🚀 GPU-accelerated inference
+- 📊 Source tracking and citation
+
+## Technical Stack
+
+- **Language Model**: Meta-llama/Llama-2-7b-chat-hf
+- **Embeddings**: intfloat/multilingual-e5-large
+- **Vector Store**: FAISS
+- **UI Framework**: Gradio
+- **Document Processing**: LangChain
+
+## Installation
+
+1. Clone the repository
+2. Install dependencies:
+```bash
+pip install -r requirements.txt
+```
+3. Set up your HuggingFace token as an environment variable:
+```bash
+export HUGGINGFACE_TOKEN=your_token_here
+```
+4. Run the application:
+```bash
+python app.py
+```
+
+## Usage
+
+1. Upload your documents using the file upload interface
+2. Wait for the system to process and index your documents
+3. Start asking questions about your documents
+4. View answers with source citations
+
+## Requirements
+
+See `requirements.txt` for a complete list of dependencies.
+
+## Credits
+
+Based on original work by [Camilo Vega](https://www.linkedin.com/in/camilo-vega-169084b1/), AI Professor and Solutions Consultant.
+
+## License
+
+MIT License