This cluster discusses the use of GraphRAG, a Retrieval Augmented Generation technique that utilizes knowledge graphs for enhanced performance in LLMs. GraphRAG improves accuracy and contextual understanding by structuring raw text into a knowledge graph, organizing data hierarchically, and summarizing groupings before generating responses, offering a more structured alternative to traditional RAG methods.