metadata

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

Upload Documents: Use the sidebar to upload .txt files containing your knowledge base
Index Documents: Click "Re-index Documents" to process your files
Ask Questions: Start chatting! Ask specific questions about your uploaded documents
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!