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 ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic ...

In an exclusive conversation with Bahaaldine Azarmi, Global Vice President, Customer Engineering at Elastic, we explored how the company is redefining search and AI solutions for enterprises worldwide ...

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 ...

Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...

Amazon Web Services (AWS) has announced vector storage for its S3 cloud object storage – S3 Vectors – in a move it claims will reduce the cost of uploading, storing and querying vectorised data in AI ...

As Gartner Predicts Vector Databases Will Be Used in 30% of Enterprise Applications by 2026, Milvus Reaches Major Milestone with 10,000+ Production Deployments "We're grateful to everyone who supports ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Kioxia America, Inc. today announced that its AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with ...