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A. Nazarychev

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Open access Aug 2026

Domain-Specific Retrieval-Augmented Generation for Metallurgical R&D Knowledge Bases: A Hybrid Graph-Enhanced Approach

This work evaluates a confidence-adaptive graph-enhanced retrieval layer for metallurgical RAG in a controlled synthetic benchmark with explicitly specified generation and evaluation rules and shows how the retrieval rule behaves under controlled conditions.

Viktor A. Vedeneev, V. Kondratiev, A. Nazarychev et al. · 0 citations

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