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Beyond Vector Search: How Graph Structure Solves RAG's Relationship Blind Spot

벡터 검색의 한계를 극복한 GraphRAG: 관계형 데이터 검색의 새로운 표준

Why it matters

Standard vector-based RAG fails on relationship questions because CRM data inherently has graph structure—customers link to vendors, vendors to regions, and traversals across these edges determine the answer. This research demonstrates that GraphRAG achieves 96.7% accuracy against BasicRAG's 71.1% on relationship queries, using 86% fewer tokens. For enterprises managing interconnected data, adopting graph-aware retrieval methods isn't an optimization—it's a necessity.

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