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Multi-Hop RAG Without Neo4j: How Vector Databases Replace Graph Complexity

그래프 데이터베이스 없는 고급 RAG: Vector Graph RAG가 제시하는 새로운 방식

Why it matters

Vector Graph RAG addresses a fundamental limitation of standard RAG systems by enabling sophisticated multi-hop reasoning without requiring a separate graph database. By storing entities, relations, and passages as interconnected collections within a single vector database (Milvus), it delivers knowledge-graph-level reasoning capabilities with minimal infrastructure overhead. This approach democratizes advanced RAG features for teams that lack the resources or expertise to operate multiple specialized databases.

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Vector Graph RAGMulti-hop reasoningMilvusKnowledge graphsEntity relationsVector search

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