Vendors / pgvector
pgvector
Named in 49 of 50 AI answers across 1 category in September 2026. Best position: Vector databases, 98% answer share, ranked #1, named first in 32%.
98%
Best share Vector databases
What pgvector is
pgvector is a PostgreSQL extension for applications that need to store and compare vectors. It is used in recommendation systems, image search, natural language processing, content-based filtering and other similarity-based AI tasks.
It adds vector data types to PostgreSQL, allowing embedding data to be stored alongside other application data. It performs vector similarity searches to find related records, and can index vectors with HNSW or IVFFlat indexes.
By category
First edition
| Category | Rank | Answer share | Named first | Models | Δ |
|---|---|---|---|---|---|
| Vector databasesAI infra | #1 of 16 | 32% | GPT-5.6 Sol, ChatGPT, GPT-5.6 Luna, Claude Opus 5, Claude, Claude Fable 5, Gemini, Gemini 3.5 Flash, Perplexity, Sonar Reasoning Pro | new |
What the models said
“Bottom line If you haven’t provided any additional constraints: > Start with pgvector if you already run PostgreSQL.”
“Highlighted as the best free and open‑source vector database for RAG and “best value” when you already run Postgres.”
“Choose pgvector if your workload is moderate and you want vectors to live alongside relational data in PostgreSQL.”
“PostgreSQL + pgvector This is often the best architectural choice when the application already relies on Postgres.”
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