AI Glossary

Knowledge Graph

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

Definition

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

Plain English explanation

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

Technical explanation

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

Why it matters

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

Real-world applications

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

Benefits

  • Explicit relationships
  • Queryable structure

Limitations

  • Curation cost
  • Schema design complexity

Common misconceptions

  • A graph alone is not an LLM

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FAQ

Graphs vs vector databases?

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

Last reviewed

Sources

  • Knowledge graph embedding and enterprise KG surveys

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