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#module-selection

@h100envy: This paper completely changed how I think about assembling a RAG pipeline: Define the nodes -> List candidates for each…

X AI KOLs Timeline ↗ · 2026-06-28 Cached

A paper introduces a 5-step blueprint for optimizing RAG pipelines by greedily selecting interchangeable modules per node on the user's own dataset, emphasizing that best performing pipelines are dataset-specific rather than benchmark-driven.

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