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Reciprocal rank fusion: why combining search results is harder than it looks

calendar_today August 9, 2026 person Jeff Mills domain redis

You run a keyword search and get back a ranked list with Best Matching 25 (BM25) scores. You run a vector search over the same documents and get a second list with cosine similarities. You want to merge them into a single ranking that surfaces the mos…

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