pgvector is the PostgreSQL extension that adds a vector data type and approximate-nearest-neighbour search, letting AGNT store embeddings next to relational rows in one ACID transaction.
What is pgvector?
Quick answer
pgvector is the PostgreSQL extension that adds a vector data type and approximate-nearest-neighbour search, letting AGNT store embeddings next to relational rows in one ACID transaction.
Full definition
AGNT uses pgvector 0.3 with 1536-dimensional vectors produced by OpenAI's text-embedding-3-small. Semantic search runs as a cosine distance query against IVFFlat or HNSW indexes, returning sub-hundred-millisecond results at the venue graph's current size. Because the extension lives inside the primary database, there is no second-system replication lag and no separate consistency model to reason about.
FAQ
pgvector FAQ.
Common questions about pgvector in the AGNT platform.
pgvector is the PostgreSQL extension that adds a vector data type and approximate-nearest-neighbour search, letting AGNT store embeddings next to relational rows in one ACID transaction.
People also ask.
Source: agnt-backend/requirements.txt
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What is pgvector? pgvector is the PostgreSQL extension that adds a vector data type and approximate-nearest-neighbour search, letting AGNT store embeddings next to relational rows in one ACID transaction. https://agntdot.com/glossary/pgvector
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See it in action.
Now you know what pgvector means. Try the live scan demo or read the developer docs to go deeper.