This video explores GraphRAG, a technique that enhances Large Language Models (LLMs) by integrating them with knowledge graphs to overcome limitations like hallucinations and lack of domain knowledge. It details the multi-phase process of knowledge graph construction, from lexical and entity extraction using LLMs to enrichment with graph algorithms. The presentation also covers advanced GraphRAG retrieval methods, showcases a practical knowledge graph builder tool, and introduces an agentic approach and a Python package for implementation, emphasizing explainability and improved accuracy.