Core Concepts
- Nodes represent entities like users, accounts, devices, or products.
- Edges represent relationships like owns, viewed, paid, or depends on.
- Properties add attributes and context to both nodes and edges.
What Is a Graph Database?
A graph database stores data as nodes and relationships, so connection-heavy queries run naturally and fast. Instead of forcing joins across many tables, you can traverse real-world links directly.
When It Is Useful
- Fraud and risk analysis across transaction networks.
- Knowledge graphs and relationship-aware search.
- Recommendations, dependency mapping, and root-cause analysis.
Why It Matters for AI
AI systems need context and structure. Graph databases supply both, making retrieval and reasoning more consistent than text-only approaches.