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---

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