Knowledge Graph

A knowledge graph represents entities and relationships as a graph used for search, reasoning, and structured context.

A map of things and how they connect, stored so software can query relationships.

Knowledge graphs store entities and relations for querying and grounding. They complement vector retrieval by providing explicit structure and constraints.

Enterprise knowledge often needs relationships—not only similarity search. Graphs support entity linking and governed context.

• Entity-centric search
• Grounding for assistants
• Master data relationships

• Explicit relationships
• Queryable structure

• Curation cost
• Schema design complexity

• A graph alone is not an LLM

Graphs vs vector databases?

Vectors excel at similarity; graphs excel at explicit relations. Many systems combine both.

• W3C RDF concepts

• Knowledge graph embedding and enterprise KG surveys