Commit Β·
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README.md
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---
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title: Knowledge Management System using RAG
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emoji: π
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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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# π Knowledge Management System using RAG
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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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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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## π Features
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- π Upload and manage documents
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- π Semantic search using vector embeddings
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- π€ RAG-based question answering
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- β‘ FastAPI backend for scalable APIs
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- π₯οΈ Streamlit frontend for interactive UI
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- π³ Fully cont
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