← Back to glossaryGlossary

Vector Database

Reviewed 19 July 2026Canonical definitionPart of: Agent Identity & Access Terms →

A vector database stores and indexes high-dimensional embeddings for fast similarity search. It is a core component of RAG-based agent architectures and must be governed for access control, data freshness, and query auditing.

§01 / QUESTIONSterm: Vector Database
Questions

Common questions.

What is Vector Database?

A vector database stores and indexes high-dimensional embeddings for fast similarity search.

How does Vector Database work?

It is a core component of RAG-based agent architectures and must be governed for access control, data freshness, and query auditing.

Which terms are related to Vector Database?

Closely related concepts include Agent Hijacking, Agent Retirement, Unique Agent Identity, NYDFS Cybersecurity Regulation (AI). Each is defined in the Prefactor glossary.

§02 / RELATEDnext: where this fits
Keep reading

Where this fits.

See how every agent performs, and make it better

Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.