Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Through relational knowledge graphs, organizations can build intelligent applications and agents powered by graph, predictive, prescriptive, and rule-based reasoning—all without moving data.