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Rerank Retrieved Candidates Before You Use Them
A first-stage retriever optimises for recall and returns many loosely relevant items; feeding them all to the model wastes context and invites the wrong one to win. This skill covers a rerank pass that scores each candidate against the actual question, trims the list to a context budget, and keeps the raw candidate set for audit.
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Order Candidates by the Question, Not the Query
Rerank Retrieved Candidates Before You Use Them# Recall First, Then Relevance A first-stage retriever casts a wide net: it optimises for finding everything vaguely related, not for putting the right item first. Passing that whole list to the model lets a loosely relevant item crowd out the correct one. ## Score each candidate against the actua
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