Question 1

What is pgvector?

Accepted Answer

Open-source vector similarity search extension for PostgreSQL. Adds vector storage and ANN search directly to your existing Postgres database — no separate vector DB required.

Question 2

What is pgvector's ProductionFlow heat score?

Accepted Answer

pgvector has a heat score of 37 on ProductionFlow, placing it in the declining phase. It gained 0 points in the last 7 days. Heat scores range from 0–100 and reflect adoption velocity, community activity, and growth signals updated weekly.

Question 3

What trend phase is pgvector in?

Accepted Answer

pgvector is currently in the "declining" phase. ProductionFlow classifies tools into six lifecycle stages: emerging, rising, peak, stable, declining, and fading — based on 30 days of score history.

Question 4

How much does pgvector cost?

Accepted Answer

pgvector uses a free pricing model.

Question 5

Which AI stack blueprints use pgvector?

Accepted Answer

pgvector appears in 2 ProductionFlow blueprints: Vector Database Stack, The Production RAG Pipeline.