A temporal GraphRAG framework that partitions knowledge graphs by timestamp and retrieves at subgraph, node, and knowledge levels outperforms RAG baselines on a new Audi annual-report QA benchmark.
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T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval
A temporal GraphRAG framework that partitions knowledge graphs by timestamp and retrieves at subgraph, node, and knowledge levels outperforms RAG baselines on a new Audi annual-report QA benchmark.