---
title: Pythonic Rag Fastapi React
emoji: 📊
colorFrom: indigo
colorTo: pink
sdk: docker
pinned: false
short_description: A bare bones fast api based React QA application
---

# Document Q&A Chat

This is a RAG (Retrieval Augmented Generation) application that allows you to:

1. Upload documents (PDF/TXT)
2. Ask questions about the content
3. Get AI-powered responses based on the document content

## Features

- Document upload support (PDF, TXT)
- Real-time chat interface
- Context-aware responses
- Modern, responsive UI

## Technology Stack

- Frontend: React with TypeScript
- Backend: FastAPI
- Vector Database: For document embeddings
- LLM: OpenAI for generating responses
- Docker for deployment

## Usage

1. Upload your document using the upload interface
2. Wait for the document to be processed
3. Start asking questions about your document
4. Get AI-generated responses based on the document content