Tagged “fusion”
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How many candidates to retrieve
Retrieval depth, fusion depth, rerank depth, final depth. Where each cut-off silently loses the right document, and how to find yours.
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Which signal failed
A query returned nothing useful. A procedure for finding whether lexical missed, dense missed, fusion buried it, or the document was never indexed.
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Fusing two ranked lists
BM25 scores and cosine similarities aren't on the same scale. Reciprocal rank fusion, score normalisation, and what each method throws away.
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One question, three searches
A compound question retrieves the average of its parts. How to split it, how to merge the result lists, and when splitting makes things worse.
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Weighting one signal over the other
A fusion weight is a claim about your query mix, not your corpus. How to derive one, why a global weight is wrong, and when to skip it.
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Making a term mandatory
Term scoring is additive, so a document missing the decisive word can still win. How required terms work, and what they do to a hybrid pipeline.
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Boosting recency without breaking relevance
Superseded documents outrank current ones because relevance ignores dates. Where a time signal belongs in a ranking, and how it goes too far.