Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

When designing search systems, the decision to use keyword-based search, vector-based search, or a hybrid approach can significantly impact performance, relevance, and user satisfaction. Each method ...

MongoDB enables millions of developers to securely build AI applications on any infrastructure, from local machines to on-premises data centers NEW YORK, Sept. 17, 2025 /PRNewswire/ -- MongoDB, Inc.

With KIOXIA AiSAQ (TM) technology now integrated into Milvus, Kioxia and the open-source community are enabling a new class of scalable, cost-efficient vector search solutions designed to meet the ...

The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...

What is vector search and how is it transforming the search experience? Edo Liberty, CEO of Pinecone and former head of Amazon's AI lab, explains. We’ve been talking with search industry pros and ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...

A vector is a set of numbers. It represents data in a format machines can understand. Think of it like turning a sentence into a point in space. Vector search is a modern technique for retrieving ...

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage ...