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GraphRAG Architecture Diagram: LLM Knowledge Graph Workflow for Agentic AI and Retrieval Augmented Generation

This professional Graphviz-rendered diagram provides a comprehensive visual breakdown of the GraphRAG (Graph Retrieval-Augmented Generation) framework. It specifically highlights the transition from unstructured data to a structured Neo4j Knowledge Graph using LLM-driven entity extraction. The visualization is perfect for technical blogs, educational presentations on Generative AI, and enterprise-level system architecture documentation. By showcasing the integration of Hybrid Search (Vector + Cypher), this image effectively communicates how modern AI systems solve complex, multi-hop reasoning challenges that traditional vector-only RAG systems cannot handle.