Knowledge graphs organize information into connected nodes and relationships, mapping how concepts, entities, and data points relate to each other. Rather than storing documents in isolation, a knowledge graph represents the connections between them.
This allows AI systems to reason more intelligently about relationships. A supplier's delivery delay connected to a specific production schedule connected to a specific customer commitment is the kind of multi-hop reasoning that knowledge graphs support naturally — and that flat document retrieval handles poorly.
