Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...

Vector databases have moved from a niche component of generative AI infrastructure to standard tooling across data-intensive industries. The technology now supports a range of enterprise applications ...

This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational ...

Vector databases play a critical role in today's AI-driven enterprise deployments. A vector database stores numerical representations -- embeddings-- of text, documents, images and other data, ...

In our previous series, we focused on the 'brains (algorithms)' and 'architectures' of AI, such as RAG (Retrieval-Augmented ...

A 'picker' gathers items at Amazon's Fulfilment Centre in Peterborough, central England, on November 28, 2013. 'Cyber Monday' which falls this year on Monday December 2, 2013, is expected to be the ...

Teradata, a provider of data analytics solutions, today announced a new database offering for managing vector data. Teradata Enterprise Vector Store manages unstructured data in multi-modal formats ...

NEW YORK, NY - 2009: A Times Square hot dog street vendor cart is seen in this 2009 New York, NY, early evening cityscape photo. (Photo by George Rose/Getty Images) Cloud is a combo. It wasn’t long in ...