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metadata
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