Question 1

What is pgvector used for?

Accepted Answer

pgvector is open-source vector similarity search extension for PostgreSQL at enterprise scale. It is commonly used for semantic search in enterprise applications, recommendation engines, natural language processing pipelines, and image and video similarity search.

Question 2

Is pgvector free, and how is it priced?

Accepted Answer

pgvector is open source and can be self-hosted at no licensing cost. Commercial support or hosted tiers may also be available from the vendor.

Question 3

How can pgvector be deployed?

Accepted Answer

pgvector supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

Question 4

What does pgvector integrate with?

Accepted Answer

pgvector documents 8 integrations, including PostgreSQL, Supabase, Hasura, TimescaleDB, Django ORM, and SQLAlchemy.

Question 5

Is pgvector enterprise-ready?

Accepted Answer

Based on cataloged data, pgvector has an Enterprise Readiness score of 46/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.