What role does vector search in pgvector play in consolidating the modern artificial intelligence stack?
Replied byPaul Copplestone
Co-Founder & CEO at Supabase
Niche: SaaS
Revenue: Approx. USD 4 Million/month
Location: San Francisco, California, United States
Started: 2020
When the artificial intelligence boom started, dozens of venture-backed startups claimed developers needed specialized standalone vector databases. We integrated the pgvector extension into standard Postgres and proved that relational data, metadata filtering, full-text search, and high-dimensional vector embeddings belong in the same unified ACID-compliant database. Consolidation always defeats fragmentation.
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