Locality-sensitive hashing

Locality-sensitive hashing is a technique that hashes vectors so that similar items are likely to land in the same bucket, allowing fast approximate similarity search by comparing only items within matching buckets.

Locality-sensitive hashing sits in the Retrieval & memory part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called LSH.