A knowledge graph is an organized representation of real-world entities and their relationships, typically stored in a graph database. It organizes data and relationships alongside frameworks known as organizing principles, which capture the context and meaning of how entities are connected. Knowledge graphs can be used to solve various problems such as generative AI for enterprise search applications, fraud detection and analytics in financial services, master data management, supply chain management, investigative journalism, and drug discovery in healthcare research. To get started with knowledge graphs, it's recommended to download a free guide or take online courses to learn the concepts and techniques behind knowledge graphs and gain hands-on experience building, managing, querying, analyzing, and visualizing knowledge graphs.