Register for Your Free Live Webinar Now:

"From Vectors to Tensors: Expanding the Possibilities of AI Search"

May 5, 2026, 9:00am PT | 12:00pm ET

Vector embeddings transformed how we build search and retrieval systems, and if you’ve shipped production applications on top of them, you already know what they can do—and may also be starting to discover what they can’t. Vectors are powerful, but they represent a single point in space, while complex search problems involving multiple signals, multimodal data, or nuanced relevance ranking require something more expressive. Tensors extend what’s possible, enabling richer representations, more sophisticated scoring, and retrieval that can reason across dimensions that vector search simply wasn’t built to handle. In this session, Vespa.ai’s Bonnie Chase, Director of Product Marketing, and Zohar Nissare-Houssen, Strategic Presales Lead Engineer, will offer a practical primer on what tensors are, why they matter, and what they make possible in real-world applications, along with concrete use cases across retail, life sciences, and financial services.

By attending, you'll learn:

• The fundamental difference between vectors and tensors, and why that distinction matters for search and retrieval
• How tensors enable more advanced relevance scoring, multimodal search, and real-time AI applications
• What tensor-powered search looks like in practice across retail, life sciences, and financial services
• How to evaluate whether your current search architecture is ready for what comes next

Can't join us live? Register anyway and we'll send you a recording after the session. By registering, you consent to receiving email communications from The New Stack and Vespa.ai. You may opt out at any time.

Offered Free by: The New Stack + Vespa.ai
See All Resources from: The New Stack + Vespa.ai