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neta:studio_ai:news_show:2026-09-27:016Digital Scholarship in the Humanities published research on graph-retrieval augmented generation built from historical-text knowledge graphs. The approach combines structured historical relationships with language-model retrieval rather than relying only on unstructured text similarity.