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metadata
title: Knowledge Management System using RAG
emoji: πŸ“š
colorFrom: indigo
colorTo: blue
sdk: docker
sdk_version: latest
python_version: '3.13'
app_file: app.py
pinned: false

πŸ“š Knowledge Management System using RAG

This project is a Knowledge Management System (KMS) built using Retrieval-Augmented Generation (RAG).
It allows users to upload, manage, and query documents using natural language.

The application is built with:

  • FastAPI for the backend API
  • Streamlit for the frontend UI
  • Docker & Docker Compose for containerized deployment

πŸš€ Features

  • πŸ“„ Upload and manage documents
  • πŸ” Semantic search using vector embeddings
  • πŸ€– RAG-based question answering
  • ⚑ FastAPI backend for scalable APIs
  • πŸ–₯️ Streamlit frontend for interactive UI
  • 🐳 Fully cont