This presentation demonstrates Agentic GraphRAG, a method for enhancing AI agents' retrieval capabilities across structured and unstructured data using knowledge graphs. It highlights the limitations of simple document search for complex queries and introduces entity extraction to build an expressive graph data model. The video then shows how agents leveraging this graph can provide precise, explainable answers and how easily new data sources can be integrated without complex refactoring.