Beyond Vector Similarity: How GraphRAG Solves the 'Why' in LLM Pipelines

Conventional RAG fails at connecting complex relationships across documents, limiting its reasoning capabilities. GraphRAG bridges this gap by structuring data into a knowledge graph, enabling LLMs to synthesize information and answer high-level 'why' questions that traditional vector search cannot reach.