Data & context
pgvector
Vector retrieval inside PostgreSQL without introducing a separate database engine.
Overview
Research summary
pgvector extends PostgreSQL with vector types, distance operators and similarity-search indexes. Applications can keep embeddings beside relational records and combine retrieval with SQL filters, joins and transactions. It supports exact nearest-neighbor queries and approximate HNSW or IVFFlat indexes with different speed, recall and memory tradeoffs. pgvector does not generate embeddings or run language models; those components are supplied separately. The C extension uses the PostgreSQL License and requires a compatible PostgreSQL installation or a hosted provider that supports the extension.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for pgvector.
Implementation details
PostgreSQL extension for vector data types, operators and similarity indexes
- Languages
- C
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 3
- https://github.com/pgvector/pgvector Project page · Linked repository · Research reference
- https://github.com/pgvector/pgvector/blob/master/README.md Research reference
- https://github.com/pgvector/pgvector/blob/master/LICENSE Research reference
Research metadata
- Research date
- 2026-10-01
- Catalogue snapshot
- 2026-10-06