Relevance feedback

Relevance feedback is an information retrieval technique that uses judgments about which results were relevant, from users or automatically, to refine the query and improve subsequent results.

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