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Vector index tuning and rebuilds

Chunking and freshnessEmbeddings in PostgresVector index tuningChoosing embedding modelsHybrid search and rerankingRetrieval quality
Development

Vector index tuning and rebuilds

  • Choosing Between HNSW and IVFFlat After Your Data Grows
  • pgvector at Scale: Vacuum, Reindexing and Index Rebuilds
  • Tuning HNSW Parameters Against a Recall Target You Can Measure
  • A Dual-Write Table So a Reindex Can Be Resumed
  • A Second Vector Index Beside the First: Build, Validate, Cut Over
  • Blue-Green Rebuilds for Vector Indexes: A Step-by-Step Cutover
  • Choosing a pgvector Index Build for a Table You Cannot Lock
  • Detecting Index Bloat with pg_stat and Vector Index Stats
  • Measuring Recall Across Two Indexes on the Same Query Set
  • pgvector Index Rebuilds Without Taking Search Offline
  • Reading HNSW Memory and Build Time from Your Own Measurements
  • Sizing a Shadow Index: Disk, Memory and Build Hours
  • Sizing HNSW Parameters for Your Recall Target
  • Vacuum, Reindex and Bloat on a Vector Index Under Write Load
  • Warming a Vector Index for Low-Latency Search
Retrieval and embeddings

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