From Flat Retrieval to Connected Intelligence: Why Knowledge Graphs Beat Naive RAG

Naive RAG systems fail when handling multi-document queries because they retrieve text similarity without understanding how information relates across documents. For complex systems—APIs, infrastructure, workflows—this fragmentation leads to technically correct but incomplete and potentially misleading answers. Graph-based RAG solutions that map relationships between documents are becoming critical for AI systems working with internal knowledge bases and distributed systems.