Spaces:
Running
Running
File size: 2,089 Bytes
a26f084 4ca4b71 fb479cf ff1c93a a26f084 ff1c93a fb479cf a26f084 ff1c93a a26f084 ff1c93a a26f084 ff1c93a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
---
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! |