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| title: RAG Chat Flow | |
| emoji: 🚀 | |
| colorFrom: gray | |
| colorTo: gray | |
| sdk: streamlit | |
| sdk_version: 1.29.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: 'RAG-powered document intelligence with vector search and AI ' | |
| # RAG Chat Flow 📚 | |
| An intelligent document Q&A chatbot powered by Retrieval-Augmented Generation (RAG). Upload your documents and ask questions to get accurate, context-aware answers. | |
| ## 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! |