Hasan8123/RAG-from-Scratch
This project is a beginner-friendly, step-by-step implementation of Retrieval-Augmented Generation (RAG) using LangChain, FAISS, and HuggingFace embeddings. It enables LLMs to generate answers grounded in your private documents (PDF, TXT, or DOCX) by retrieving relevant context at query time.
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Python
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Last pushed
Mar 13, 2026
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