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Artificial Intelligence

Vector Database

Plain English

A database designed to find similar .

Definition

A vector database stores and retrieves based on vector representations, enabling similarity and retrieval.

In practice

Used in AI to find relevant information based on .

In context

It becomes necessary once similarity is running over enough content that scanning everything on each query stops being viable.

The reality

depends on , scale, and .

Compared with

Vector Database vs Traditional Database

A traditional database retrieves by exact match and defined relationships. A vector database retrieves by proximity in meaning, returning the nearest items rather than the matching ones: approximate by design.

FAQ

Common questions

A few practical answers to the questions that usually come up around this term.

What is a vector database?

It is a database that stores and using vector representations.

Why are vector databases used?

To enable similarity and retrieval.

How do vector databases work?

By comparing numerical representations of .

Where are vector databases used?

In AI, , and recommendation .

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