G-RAG combines entity linking, Wikipedia expansion, and a graph database for material science question answering, but its claimed improvements over simpler RAG are not statistically significant.
Leveraging medical knowledge graphs and large language models for enhanced mental disorder information extraction
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G-RAG: Knowledge Expansion in Material Science
G-RAG combines entity linking, Wikipedia expansion, and a graph database for material science question answering, but its claimed improvements over simpler RAG are not statistically significant.