Vector Search in Production: Semantic Retrieval from Principles to Deployment
Vector search in production: map queries and docs into a semantic space, replace brute-force with ANN, pick HNSW or IVF+PQ with hybrid retrieval plus reranking.
Vector search in production: map queries and docs into a semantic space, replace brute-force with ANN, pick HNSW or IVF+PQ with hybrid retrieval plus reranking.
Site search UX optimization links autocomplete, correction, synonyms, faceted filters and zero-result recovery as one loop via latency and zero-result rate.
Enterprise knowledge base search fails when documents scatter and permissions differ. Rollout: ingestion, permission alignment, metadata, ranking, governance.
Build, open source Elasticsearch or SaaS? Score six dimensions: capability, staffing, license risk, scaling, compliance, three-year TCO, then pick by scale.
Cross-border search is not fixed by translating queries: tokenization, morphology and word order shift recall. Compare three architectures, analyzers, ranking.
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