- Research 26041 Embedding models determine how AI systems store, search, and retrieve enterprise data. The model used to embed data must match the model used to look it up. A wrong choice weakens every AI application built on top of it, and switching models after deployment forces organizations to re-embed their entire data corpus. On March 9, 2026, Teradata announced new agentic and multi-modal capabilities for its Enterprise Vector Store, built on a native integration with Unstructured.