Teradata has introduced new Agentic and Multi-Modal Data Capabilities for its Teradata Enterprise Vector Store, which is intended to assist organizations in operationalizing generative AI and autonomous agents in hybrid, cloud, and on-premises environments. When paired with the Unstructured offering, the platform enables organizations to consolidate structured and unstructured data, including text, documents, images, and many other types, into a governed architecture that is best suited to handle the demands of AI workloads. The platform is designed to handle the scale required by the enterprise, including the ingestion of millions of documents and thousands of files per hour, scaling to billions of vectors and high-dimensional embeddings, and supporting over 1,000 concurrent queries without compromising performance.
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“We’re entering an era where AI agents will become the primary interface for enterprise intelligence-autonomously orchestrating workflows, making decisions within defined governance frameworks, and uncovering insights across every data type,” said Sumeet Arora, Chief Product Officer at Teradata. “Stand-alone vector databases can’t deliver on this vision. Teradata Enterprise Vector Store fundamentally reimagines how enterprises operationalize AI by unifying structured and multi-modal unstructured data with autonomous agent capabilities within a single governed platform.” “Enterprises shouldn’t have to choose between data security and AI readiness. By embedding Unstructured natively inside Teradata Enterprise Vector Store, Teradata customers get production-quality, AI-ready data at scale, with no external tools, no data leaving the platform, and no compromise on governance,” said Brian Raymond, Founder and CEO of Unstructured.