| | ---
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| | title: Knowledge Management System using RAG
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| | emoji: 📚
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| | colorFrom: indigo
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| | colorTo: blue
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| | sdk: docker
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| | sdk_version: "latest"
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| | python_version: "3.13"
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| | app_file: app.py
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| | pinned: false
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| | ---
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| |
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| | # 📚 Knowledge Management System using RAG
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| |
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| | This project is a **Knowledge Management System (KMS)** built using **Retrieval-Augmented Generation (RAG)**.
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| | It allows users to upload, manage, and query documents using natural language.
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| |
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| | The application is built with:
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| | - **FastAPI** for the backend API
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| | - **Streamlit** for the frontend UI
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| | - **Docker & Docker Compose** for containerized deployment
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| |
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| | ---
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| |
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| | ## 🚀 Features
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| |
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| | - 📄 Upload and manage documents
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| | - 🔍 Semantic search using vector embeddings
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| | - 🤖 RAG-based question answering
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| | - ⚡ FastAPI backend for scalable APIs
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| | - 🖥️ Streamlit frontend for interactive UI
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| | - 🐳 Fully cont
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| |
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