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 ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

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.

Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and the ...

Google is adding new capabilities to its database and analytics platforms to help developers and organizations benefit from the power of generative AI. Google has been busy in 2024 thus far, with ...

Kioxia America, Inc. today announced that its AiSAQtm approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with version 2.6.4), among the world's ...

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

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 explained through speed vs velocity: why AI needs vectors, not rows and columns, to manage context, similarity, and next-gen RAG workloads, dqdeeptech ...