Author

Michael Gertz

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Preprint Aug 2026

NeSy-RAG: Neuro-Symbolic RAG for Explainable Question Answering

This work proposes NeSy-RAG, a modular neuro-symbolic RAG framework that synthesizes attributable Prolog modules from retrieved text chunks that introduces a symbolic knowledge-gap detection mechanism that identifies missing user facts whose truth values affect the query outcome and automatically triggers follow-up int...

Jonas Gann, Michael Gertz · 1 citation