procedure
The architecture for knowledge graph-augmented LLM systems operates in three stages: first, query understanding translates natural language into graph concepts; second, graph traversal follows relationships to collect relevant subgraphs; third, context assembly combines retrieved graph data with the original query for LLM processing.

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