Knowledge Graphs

A Knowledge Graph is a structured, semantic network: it connects real-world entities (nodes) with defined relationships (edges) to provide context and meaning for intelligent systems.

Knowledge Graphs (KGs) are semantic networks that model data as a collection of subject-predicate-object triples, using nodes for entities (e.g., a person, a product) and labeled edges for their relationships (e.g., 'works at,' 'is a customer of'). This graph-based structure, often built on standards like RDF, enables machines to understand context and meaning, moving beyond simple keyword matching to entity-based reasoning. Major implementations include Google's Knowledge Graph, which contains billions of facts, and enterprise KGs used for complex data integration, fraud detection, and grounding Generative AI (GraphRAG) for more accurate, explainable results.

https://neo4j.com/developer/knowledge-graph/