AI Glossary

Dot product similarity

What does “Dot product similarity” mean?

Dot product similarity: A vector comparison that multiplies corresponding values and adds the results.

Dot product similarity visual guide: A vector comparison that multiplies corresponding values and adds the results.
Visual guide Open full size (new tab)

What is an example of “Dot product similarity”?

A retriever ranks candidates by the dot product with a query vector.

Keep learning

See also

Vector indexTermApproximate nearest neighborsTermEmbeddingsTermCosine similarityTermEuclidean distanceTerm

Same topic

Dense retrievalTermDynamic batchingTermDisaggregated inferenceTermEdge AITermEnd-to-end latencyTerm