The Reranker Tax: When a Smart Layer Can't Save a Weak Foundation
情報源: Eoin Hurrell ·
Every time you choose to add complexity rather than measure and improve the system you already have, you gamble with your time and your focus. The new component arrives with a tax — latency, cost, more moving parts to operate — and it pays off only when the thing underneath it was already doing its job. Without a solid foundation and good measurement, the upgrade is motion, not progress. This is a post about one instance of that gamble — adding a reranker to a search system — and how the same shape repeats somewhere less obvious: the AI agent you point at a search tool you built. In both cases
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