Knowledge Graph

A knowledge graph is a graph-structured database where nodes are entities (people, places, organizations, concepts, products) and edges are the typed relationships between them. The term 'graph' refers to the mathematical structure of connected nodes and edges, not to visual charts. Knowledge graphs differ from traditional databases in that they prioritize relationships as first-class data. It is not enough to know that Marie Curie exists. A knowledge graph also stores that she was born in Warsaw, that she was a physicist and chemist, that she discovered radium and polonium, that she won the Nobel Prize twice, and that she was affiliated with the University of Paris. Each of those facts is a typed relationship connecting entities. Google maintains one of the world's largest knowledge graphs, used to power Knowledge Panels, featured snippets, and AI search overviews. Bing, Apple, Amazon, and major AI labs all maintain similar graph structures.