Unlock Scalable Multimodal Intelligence With Teradata Enterprise Vector Store
Unify structured and unstructured data to power agentic AI across hybrid environments
Enterprises are rapidly adopting generative and agentic AI, but most struggle to operationalize unstructured and multimodal data at scale. Text, documents, images, and audio are siloed across disconnected systems, while standalone vector databases add cost, complexity, and governance gaps.
Teradata Enterprise Vector Store embeds vector storage, search, and retrieval directly into Teradata Vantage®, unifying structured and unstructured data in a single, governed platform. This enables organizations to build accurate, context-aware RAG and AI applications without duplicating infrastructure or pipelines, reducing operational overhead and accelerating time to value.
Built for enterprise scale across cloud, on-premises, and hybrid environments, Teradata Enterprise Vector Store delivers a trusted foundation for RAG and agentic AI through unified multimodal data, efficient price performance, and open developer integration.
Key capabilities:
- Unified multimodal data
Vectors and structured data live together in one governed database, enabling richer context, hybrid search, and more accurate AI outcomes - Efficient scale and price performance
Linear scaling to billions of vectors on Teradata Vantage® MPP architecture with predictable performance and cost - Superior developer experience
Open integrations with LangChain, Python, SQL, and SDKs simplify building and deploying RAG pipelines and AI agents