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embedding-models

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This project implements a Retrieval-Augmented Generation (RAG) chatbot that can answer medical questions—especially focused on Anatomy and Forensics—based on uploaded PDF documents. It uses Hugging Face models for embedding and language generation, FAISS for vector storage, and a simple Streamlit frontend for an interactive chat interface.

  • Updated Dec 9, 2025
  • JavaScript

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