What Are Knowledge Graphs?
Knowledge graphs represent information as a network of entities and relationships. They capture not just data, but the connections and context that make data meaningful.
How They Work
Core Components
- Nodes: Entities (people, places, concepts)
- Edges: Relationships between entities
- Properties: Attributes of nodes and edges
Enterprise Applications
- Customer 360 views
- Supply chain visibility
- Fraud detection
- Research and discovery
- Compliance mapping
Knowledge Graphs + AI
Enhanced RAG
Knowledge graphs improve retrieval by understanding relationships between concepts.
Agent Reasoning
AI agents use knowledge graphs to understand complex domains and make better decisions.
Getting Started
Start with a focused domain. Build a knowledge graph for one use case, then expand.