Large Language Models (LLMs) like GPT-4 and Knowledge Graphs (KGs) form a potent synergy. LLMs excel in generating human-like text but sometimes lack detailed knowledge. KGs provide this by structuring interconnected facts and relationships. Integrated LLMs use KG data for accurate, context-rich responses. Alternatively, LLMs themselves can be used to generate KGs in a new and powerful way by uncovering “unseen knowledge.” This union enables far more sophisticated and powerful AI, ML, and analytic applications.