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A structured network of entities (nodes) connected by typed relationships (edges) that captures facts as data, not prose.
Instead of storing knowledge as paragraphs, a knowledge graph stores it as 'Acme —acquired→ Beta —founded_by→ Dana' — explicit nodes and labeled edges you can query and traverse. It's precise and composable: you can ask multi-hop questions and get deterministic answers that text search can't reliably give. In the agentic world it underpins GraphRAG and gives agents a reliable memory of how things connect. Example: a graph linking customers, orders, and products so an agent can answer 'what did this churned account buy last' by walking edges, not guessing from text.
Plainly
Think of Knowledge Graph as roads and power for the app city. A structured network of entities (nodes) connected by typed relationships (edges) that captures facts as data, not prose.
In practice
Use it when local behavior needs to become a reachable, reliable deployed service. In practice, define the owner, input, output, and failure mode before you rely on it.