Update README.md

README.md

@@ -1,19 +1,56 @@
 ---
 title: RAG Chat Flow
-emoji: 🚀
-colorFrom: red
-colorTo: red
-sdk: docker
-app_port: 8501
-tags:
-- streamlit
+emoji: 📚
+colorFrom: blue
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.29.0
+app_file: app.py
 pinned: false
-short_description: Streamlit template space
+license: mit
 ---
 
-# Welcome to Streamlit!
+# RAG Chat Flow 📚
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+An intelligent document Q&A chatbot powered by Retrieval-Augmented Generation (RAG). Upload your documents and ask questions to get accurate, context-aware answers.
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+## Features
+
+- 🔍 **Smart Document Search**: Uses semantic search to find relevant information
+- 🤖 **AI-Enhanced Answers**: Combines document retrieval with AI processing for natural responses
+- 📁 **Multi-Document Support**: Upload multiple text files for comprehensive knowledge base
+- 💬 **Chat History**: Persistent chat sessions with automatic saving
+- 👥 **Multi-User Support**: Real-time user tracking and session management
+- 🎯 **Confidence Scoring**: Shows how confident the system is in its answers
+- 📊 **Source Attribution**: Always shows which documents answers come from
+
+## How to Use
+
+1. **Upload Documents**: Use the sidebar to upload .txt files containing your knowledge base
+2. **Index Documents**: Click "Re-index Documents" to process your files
+3. **Ask Questions**: Start chatting! Ask specific questions about your uploaded documents
+4. **Get Answers**: Receive both AI-enhanced and extracted answers with source citations
+
+## Technical Details
+
+- **Embedding Model**: all-mpnet-base-v2 for semantic understanding
+- **Vector Database**: ChromaDB for efficient similarity search
+- **Text Splitting**: Intelligent chunking that preserves context
+- **AI Enhancement**: Optional OpenRouter API integration for natural language responses
+
+## Environment Variables
+
+Set `OPENROUTER_API_KEY` for AI-enhanced responses (optional - works without it too).
+
+## Example Use Cases
+
+- Corporate policy documents
+- Technical documentation
+- Research papers
+- Product manuals
+- Legal documents
+- Knowledge bases
+
+## Setup
+
+The app automatically handles document processing and indexing. Simply upload your text files and start asking questions!