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hardConceptDesignMidSeniorStaff

Where does a cross-encoder reranker earn the latency it costs you?

5 min readUpdated 2026-08-15

Answer

Short answer

It earns it when your gold set shows recall at 50 is much better than recall at 5, because that gap is what reranking converts into answer quality. The cost is a model pass per candidate with nothing precomputable, so the latency budget divided by measured per-batch cost sets the candidate count.

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Likely follow-ups

  • Your reranker truncates passages at its input limit. Which chunks does that quietly penalise?
  • How would you keep the reranker's benefit while halving its cost?
  • Where does a late-interaction model sit between a bi-encoder and a cross-encoder?
  • The reranker reorders the top five but the answer does not improve. What does that tell you?

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