Enterprise Search and RAG

Enterprise search isn’t a single trick; it’s a handshake between lexical match (exact terms, acronyms, IDs) and semantic match (meaning when the words don’t line up). The system works best when you let both vote, then put a careful reranker on top, and close the loop with feedback and analytics so the engine keeps learning. Below is a small but complete stack you can run: a BM25-like lexical index, a vector index with SentenceTransformers+FAISS, a hybrid retriever that fuses scores, an optional cross-encoder reranker, and a FastAPI edge that records search/feedback and computes simple quality metrics.