Explore the powerful combination of Knowledge Graphs and Retrieval-Augmented Generation (RAG) in this 19-minute conference talk that introduces GraphRAG as an emerging technique for enhancing AI applications. Learn how Knowledge Graphs excel at capturing rich context that can significantly improve the accuracy and completeness of RAG systems while accelerating development and enabling explainable AI decisions. Discover the fundamental concepts behind GraphRAG, examine practical examples of its implementation, and understand where this approach works best in real-world applications. Gain specific guidance on getting started with GraphRAG and understand how it can improve the context passed to Large Language Models, ultimately enhancing the performance of your AI applications through better contextual understanding and more sophisticated information retrieval capabilities.