Overview
Description
Add high-performance vector similarity search directly inside PostgreSQL — no separate database, no new infrastructure. Your team keeps using the same SQL tools, ACID guarantees, and operational practices they already know. Scale from prototypes to production with replication, point-in-time recovery, and the full Postgres ecosystem.
Technical scorecard
License
Not specified
Commercial use
No
OpenAI-compatible API
No
REST API
No
Fine-tuning support
No
Quantization support
No
Docker available
Yes
GUI / no-code available
No
Telemetry
Unknown
Offline after setup
Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
The listed license needs review before commercial use.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying pgvector in production?
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Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/pgvector/pgvectorHardware Requirements
Works Well With