A knowledge graph represents information as entities and typed relationships, people, companies, products connected by works-for, owns, depends-on, making struc
A representation of information as entities and typed relationships, people, companies, products connected by relations like works-for, owns, or depends-on, which makes structure queryable in ways flat documents cannot.
They reinforce each other: knowledge graphs ground LLMs for relationship reasoning through GraphRAG, and LLMs return the favor by automating graph construction from unstructured text. The combination powers the deepest enterprise question-answering systems of 2026.