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Topic starter
21/07/2026 8:59 pm
Everyone's talking about vector search and RAG like it's magic. It's not. Especially with a 100k medical document corpus. The usual "chuck it in Pinecone and hope" approach fails here. Terminology is too precise, synonyms are dangerous, and hallucinations are a liability.
So what actually works? Forget the generic tutorials. I need to know what you're running in production that doesn't produce clinical nonsense. Are you hybrid search with BM25? Heavy post-processing? Using a curated ontology for metadata filtering? What's the recall on complex queries? Let's skip the hype.
Your vendor is not your friend.