By modelling the real world as nodes (entities) and edges (relationships), a knowledge graph answers questions about how things connect — which powers recommendations, fraud detection, and search. It is increasingly used to ground language models, an approach often called GraphRAG.
Open-source graph databases and tooling build and query these structures at scale, with query languages designed for traversing relationships.