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GraphRAG

기사 1건

Editorial technology illustration of an AI knowledge-retrieval crossroads: a luminous vector-search pathway on one side and a complex knowledge graph network on the other, with a central AI agent deciding between them. Show abstract documents, nodes, edges, relational links, and a subtle comparison of speed versus depth, accuracy versus cost. Emphasize a modern enterprise data environment with layered databases, flowing tokens, and connected information routes, suggesting that simple fact lookup favors vectors while multi-hop reasoning favors graphs. Clean, high-contrast, sophisticated newsroom style, dark background with electric blue, teal, and amber highlights, cinematic lighting, sharp detail, no text, no logos, no watermark.

GraphRAG

토큰 377배의 갈림길, 그래프냐 벡터냐

GraphRAG를 쓴 에이전트가 80% 더 정확하다는 연구와, 단순 검색에서 11.6%포인트 뒤진다는 벤치마크가 같은 해에 나왔다. 둘 다 맞다. 질문의 종류가 도구를 정한다.

2026년 8월 18일