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Measurement of retrieved chunk quality from real-world knowledge in retrieval-augmented generation: A Phase 1 foundational study

2026-01-02

Abstract excerpt

Retrieval-augmented generation (RAG) holds promise for supporting high-stakes medical decision-making. However, most research has focused on downstream optimization of parameters and algorithms. This Phase 1 foundational study quantitatively evaluated the upstream quality of knowledge documents and their impact on retrieval performance, using Japanese clinical research protocol manuals for Institutional Review Boa...

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Literature Corpus work
b3bab74b-5fe3-59a7-a33a-11820fb71b1e
DOI
10.64898/2026.01.01.26343326
Open publication

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Measurement of retrieved chunk quality from real-world knowledge in retrieval-augmented generation: A Phase 1 foundational studyDOI 10.64898/2026.01.01.26343326
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