Relationships are the insight
Some questions aren't about rows and columns but about how things connect—customers to products, properties to owners, events to causes. Knowledge graphs model those links directly.
Where they shine
- Fraud and risk: spotting suspicious connections.
- Recommendations across related entities.
- Grounding LLMs with structured, linked context.
- Master data: one connected view of an entity.
Start with the questions
A graph is worth the effort when relationships are the point. We model the entities and links that answer real questions—not the whole world at once.
