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Developed a production-ready Retrieval-Augmented Generation (RAG) application using LangChain, FAISS, and Google Gemini for

intelligent document question answering.

Implemented semantic document chunking, vector similarity search, retrieval optimization, and context-aware response generation to

improve answer accuracy and grounding