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 ...

Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational scale. This guide explains the mechanism, trade-offs, evaluation, and ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

Generative AI has received a lot of attention already this year in the tech world and beyond. Whether it's ChatGPT’s prose or Stable Diffusion’s art, 2022 provided an insight into the potential for AI ...

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, ...

Alibaba has introduced Zvec, an open-source vector database designed to function as a lightweight library for on-device Retrieval-Augmented Generation (RAG). Zvec is an open-source, lightweight, ...

When Edo Liberty was completing his Ph.D. in Computer Science at Yale on random projections, he could have hardly known that a decade later it would be a fundamental component of modern AI. Liberty is ...