Hybrid Semantic Search: Keyword Plus Embeddings and Rerank for Docs Chatbots

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Use hybrid retrieval for a docs chatbot that turns healthtech sales-call summaries into CRM actions: collect keyword and embedding candidates, fuse them, then rerank the shortlist before asking a chat model to write anything. The deciding constraint is per-tenant cost visibility. Retrieval must be attributable to one tenant, and the expensive stages must operate on a small, bounded set. TL;DR: exact matching protects product names, contract IDs, and legal terms; embeddings recover paraphrases; reranking decides which passages deserve context space. Keep chat completions last.

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I vibe-coded a cassette deck for family memory — K7 Mémoire (Sanity Challenge Path 2)

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ProgrammingDEV Community ·

Nobody in our app ever sees the Stripe customer portal, and four verbs are the reason

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ProgrammingDEV Community ·

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