Reciprocal rank fusion

Reciprocal rank fusion is a method for merging ranked result lists from different search systems by scoring each item based on its rank positions, commonly used to combine keyword and vector search results.

Reciprocal rank fusion 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 RRF.