---
title: Knowledge Management System using RAG
emoji: 📚
colorFrom: indigo
colorTo: blue
sdk: docker
sdk_version: "latest"
python_version: "3.13"
app_file: app.py
pinned: false
---

# 📚 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

---

## 🚀 Features

- 📄 Upload and manage documents
- 🔍 Semantic search using vector embeddings
- 🤖 RAG-based question answering
- ⚡ FastAPI backend for scalable APIs
- 🖥️ Streamlit frontend for interactive UI
- 🐳 Fully cont