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Vector Search Without the Hype
IR & Search
7 min readPrecision Build

Vector Search Without the Hype

When to use embeddings, and when a good index beats them.

Use vector search when semantics matter and exact matches are rare. Prefer BM25 or hybrids when precision and keyword intent dominate. Latency budgets change the calculus: small, hot indexes can outpace vector stores. Start hybrid, measure, and simplify if one signal wins.
Operationally, watch for drift when embeddings update. Keep migration plans for re-embedding corpora and stable IDs for documents. Vector search is a tool, not a religion.
embeddings
bm25
hybrid-search
retrieval

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