Multimodel Data Platforms: The Next Evolution Beyond Vector & Graph Silos • Arango

Graph and vector databases alone are insufficient for production AI because they fragment business context across separate systems, forcing runtime reconstruction for each agent or workflow. A contextual data layer unifies meaning, relationships, temporal state, provenance, and multimodal signals into a single foundation, enabling AI systems to reason consistently and act safely at scale. This architectural shift moves teams from brittle, stitched-together Frankenstacks toward reusable layers that provide unified, current, and trusted business context across all AI applications.