PG17 PGSizer Tiếng Việt (VI)

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PGVECTOR-HNSW // AI Vector + Full-Text DB

pgvector 0.8 + PostgreSQL 17 Hybrid Search (HNSW halfvec + BM25 / GIN)

Consolidate relational metadata, RBAC permissions, and million-scale AI embeddings inside a single ACID database. With pgvector 0.8 halfvec (16-bit floats), HNSW index memory drops by 50% with >99.2% recall.

Load PGVECTOR-HNSW Preset in PGSizer Studio →

PGSizer RAM, Buffer & NVMe Sizing Matrix for PGVECTOR-HNSW

Deployment Scale Memory Allocation Buffer / Pool Setting Matched Node Tier Architecture Target
500K Vectors (1536d halfvec HNSW) 16 GB DDR5 (Hostinger KVM 4) 4.5GB 200 GB Gen4 NVMe 1.8ms P95 Cosine Recall
2M Vectors (1536d halfvec HNSW) 32 GB DDR5 (Hostinger KVM 8) 10GB 400 GB Gen4 NVMe 2.9ms P95 Hybrid RRF
10M Vectors (1536d halfvec HNSW) 64–128 GB VDS (UltaHost) 24GB – 38GB 800–1920 GB RAID-10 NVMe 4.4ms P95 Zero Disk Thrash

PGSizer Configuration Snippet & DBA Rules for PGVECTOR-HNSW

-- PostgreSQL 17 + pgvector 0.8: 50% smaller HNSW index via halfvec casting
CREATE EXTENSION IF NOT EXISTS vector;

SET maintenance_work_mem = '4GB';
SET max_parallel_maintenance_workers = 6;

CREATE INDEX CONCURRENTLY docs_embedding_hnsw_idx
  ON knowledge_chunks
  USING hnsw ((embedding::halfvec(1536)) halfvec_cosine_ops)
  WITH (m = 16, ef_construction = 128);
  • Set maintenance_work_mem >= 2GB–4GB before running CREATE INDEX ... USING hnsw; if the HNSW graph spills out of maintenance_work_mem during build, index creation slows down by 8x–15x.
  • Cast float32 embeddings to halfvec(1536) in your functional HNSW index expression to halve shared_buffers footprint immediately.
  • Use pgvector 0.8 iterative index scans (SET hnsw.iterative_scan = relaxed_order) so filtered tenant queries (WHERE org_id = $1) never return fewer than k results.

Matched NVMe Providers for PGVECTOR-HNSW on PGSizer (2026-11-12 Public Rates)

Public rates retrieved 2026-11-12; promotional and renewal prices may change — verify current terms on each vendor checkout page.

PGSizer DBA Questions for PGVECTOR-HNSW

What happens if my pgvector HNSW index exceeds available RAM?

HNSW graph traversal jumps randomly across neighbor pointers. Once active HNSW pages evict from shared_buffers + OS cache, query latency spikes from 3ms to 120ms+ unless backed by high-IOPS local NVMe or upgraded to a 64GB UltaHost VDS.

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