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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
health informatics
Title + abstract only
View on medRxiv
Show abstract
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 Board pre-screening support as a case study. We established a three-tier evaluation fr...
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