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The GraphRAG architecture proposed in the paper utilizes a two-step methodology: (i) an interchangeable knowledge graph framework supporting both LLM-based generation and lightweight dependency parser-based construction, and (ii) a cascaded retrieval system combining one-hop graph traversal with dense vector-based node re-ranking.

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