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+ ---
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+ title: Knowledge Management System using RAG
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+ emoji: πŸ“š
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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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+ # πŸ“š 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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+ ## πŸš€ Features
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+
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+ - πŸ“„ Upload and manage documents
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+ - πŸ” Semantic search using vector embeddings
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+ - πŸ€– RAG-based question answering
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+ - ⚑ FastAPI backend for scalable APIs
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+ - πŸ–₯️ Streamlit frontend for interactive UI
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+ - 🐳 Fully cont