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This comparison does not rank or certify resources. Client labels are declared targets, not compatibility test results. Recorded outcomes can include passes and failures; they cover only the stated scenario and current package.

Development

PostgreSQL Vector Search

Configure half-precision vectors, HNSW indexes, filtered retrieval and vector-search tuning.

Purpose
Vector similarity search
Author / publisher
Tiger Data
License
Apache-2.0 · License guidance
Version
b236d3583fb5
Access
Free download. External tools and services may have separate costs.
Declared clients
Claude Code, Codex, Cursor

Source & package

Inspect the original source ↗

5 files · 0 script/code files. License file detected.

Current package SHA-256827827a5063c36b5b1e920e853c0005812e93f39ba20daf6252703e19038414c

Tools & requirements

PostgreSQL with pgvector 0.8.0+ for all features, compatible binaries and installation rights. Generate embeddings separately with a suitable model; optional vectorscale is separate.

Apache-2.0 material; separate hosting, tooling, model access and services may have costs. Full skill/agent runtime evaluation has not been performed. Capacity, recall, speed and memory tables are author estimates, not measured guarantees. Use nonzero vectors of matching dimensions from the same embedding model. Review large maintenance_work_mem values against your limits. EXPLAIN ANALYZE executes queries. Optional maintenance/DDL is not read-only. No model, credentials or binaries bundled.

Evidence & limits

Source review checked 2026-10-03. Full skill/agent runtime evaluation has not been performed.

1 current outcome record. Read the actual environment, result and limitations.