Data · Established · Intermediate

Knowledge Graph

A structured network of entities and typed relationships that machines can traverse and reason over.

What Knowledge Graph is

A knowledge graph stores facts as subject-predicate-object triples, so 'transformer — introduced-by — Vaswani et al.' becomes a queryable relationship rather than prose.

How it works

Graphs are built by curation, extraction from text, or both, stored in graph or triple stores, and queried with languages such as SPARQL or Cypher. Increasingly they are paired with vector search in hybrid retrieval.

Why it matters

Graphs give language models grounded, checkable structure, which is why graph-augmented retrieval is one of the more effective hallucination reduction strategies.

Common uses

→Search entity panels
→Enterprise data integration
→GraphRAG retrieval
→Recommendations over relationships

Strengths

✓Explicit, auditable relationships
✓Supports multi-hop questions

Watch for

✓Costly to build and maintain
✓Schema design is hard

Continue exploring

Retrieval-Augmented Generation Semantic Search Ontology Vector Database