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Vector Search Without the Hype
IR & Search

Vector Search Without the Hype

Precision Build
7 min read
When to use embeddings, and when a good index beats them.
#embeddings#bm25#hybrid-search#retrieval
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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.

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Article Info

Category:IR & Search
Read time:7 minutes
Author:Precision Build
Published:Oct 2025

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