First announced early this year, KIOXIA's AiSAQ open-source software technology increases vector scalability by storing all RAG database elements on SSDs. It provides tuning options to prioritize ...

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 ...

A Scalable Vector Database, a cutting-edge solution, is meticulously designed to efficiently manage high-dimensional vector data. Unlike traditional databases that handle data types such as strings ...

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling. The enhancements ...

Vector database startup Pinecone Systems Inc. today announced a new, high-performance deployment option for customers that need to support the most demanding enterprise use cases. It’s called ...

As Gartner Predicts Vector Databases Will Be Used in 30% of Enterprise Applications by 2026, Milvus Reaches Major Milestone ...

In the age of generative AI (genAI), vector databases are becoming increasingly important. They provide a critical capability for storing and retrieving high-dimensional vector representations, ...

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TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced the open-source release of its new All-in-Storage ANNS with Product Quantization (AiSAQ) technology (1).

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 ...