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Building a Hybrid RAG System with FAISS, BM25, and Agentic AI

As part of my AI Engineering journey, I recently worked on a project that helped me understand how Retrieval-Augmented Generation (RAG) works in practice.

  • Hybrid RAG system combines FAISS vector search and BM25 keyword search
  • Documents chunked before retrieval, balancing context and retrieval accuracy
  • Agent tool utilizes FAISS + BM25 hybrid ranking for context construction

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