Vectors gave us AI search, tensors are going to make it smarter

The article argues that vectors alone are too limited for modern AI retrieval and search.

It makes the case that tensors can add context and multiple axes, improving relevance, ranking, and multimodal search.

A discussion with Vespa.ai experts, including Bonnie Chase and Zohar Nissare-Houssen, previews practical uses in RAG, e-commerce, and life sciences.

The takeaway: tensor-based approaches may better support larger, more complex, real-time AI systems as data scales.