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Framework Decouples Error Sources in Cloud-Native Graph-RAG Systems
A new arXiv paper proposes a three-layer diagnostic framework for Graph-RAG systems running on cloud-native databases. The approach separates errors stemming from data perturbations so they can be attributed orthogonally to reasoning loss rather than assumed-clean data. It targets the common gap where such systems overlook the effects of degraded database inputs.