Maximal marginal relevance

Maximal marginal relevance is a result selection method that balances relevance to the query against similarity to results already chosen, so the final set is both relevant and diverse.

Maximal marginal relevance 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 MMR.