Teradata Enterprise Vector Store Adds 8K-Dimension Multimodal Embeddings and LangChain Integration
Teradata launched Enterprise Vector Store with agentic multi-modal support for text, image and audio embeddings up to 8K dimensions and hybrid semantic-lexical search. Built for enterprise scale, it offers linear scalability across billions of vectors, 1,000+ concurrent queries and LangChain integration for autonomous AI agent workflows.
1. New Multi-Modal Features
Teradata Enterprise Vector Store supports text, image and audio embeddings up to 8K dimensions, combines semantic and lexical search with metadata-driven techniques, and automates ingestion and processing of documents, PDFs, images and audio with upcoming video support.
2. Enterprise-Scale Performance
Engineered for enterprise AI deployments, it delivers linear scalability across billions of vectors, handles over 1,000 concurrent queries without performance degradation and eliminates infrastructure duplication to optimize costs. Enterprise-grade governance spans cloud, on-premises and hybrid environments.
3. LangChain Integration and Autonomous Agents
Direct LangChain integration enables rapid RAG pipeline development, agentic execution and autonomous workflow orchestration. Real-world use cases range from insurance claims automation and healthcare visual Q&A to defense intelligence support.