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agentsop-reranker-stage

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Adds and tunes a reranker stage for RAG using the retrieve-wide, rerank-narrow pattern. Use when relevant documents appear in the initial top-N but are buried by noise, top-1 precision or MRR is low despite adequate recall, or too many marginal chunks consume context. Covers cross-encoder, API, and local rerankers; N-to-k selection; and latency/cost tradeoffs. Do not use when retrieval recall itself is failing.

skills/agentsop-reranker-stage/SKILL.md

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Nov 8, 2026
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# Reranker Stage · SOP

> Third-person analytical view of how a mature RAG pipeline *thinks* about the
> reranker. The skill is for an LLM agent that writes / reviews / debugs
> retrieval code — it teaches the cross-framework reranking discipline, not one
> vendor's API. For the per-framework API, descend to `[[llamaindex]]`
> (node postprocessors) or `[[agentsop-hybrid-retrieval]]` (the recall stage that feeds
> the reranker).

This is the **C4 gap skill** in the Phase-D enhance pass. The reranker SOP
existed only buried inside `[[llamaindex]]` (`OP-03 AddReranker`, Stage 3 step 7,
anti-pattern A6). It is the **highest-ROI single addition** to a naive RAG
pipeline, so it earns a standalone overlay.
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