This post explains how indexes can speed up PostgreSQL pgvector queries. It introduces the pgvector extension, which allows for similarity searches on AI embeddings. The post also discusses different similarity metrics used in vector queries.
Table of contents
Understanding vector queriesSetting up a PostgreSQL playgroundUnderstanding how similarity metrics workTesting the vector similarity theory at scaleIntroducing indexes in PostgreSQL pgvectorIndexes to avoid a full table scanAdditional techniques to speed up vector indexesIndexes to avoid full vector element comparisonConclusion31 Impressions