Zilliz, the company behind Milvus, the world's most widely adopted open-source vector database, today announced the general availability of Zilliz Cloud BYOC (Bring Your Own Cloud) on Microsoft Azure.

Abstract: Vector Data Management Systems (VDMS) play a vital role in large-scale information retrieval by providing tunable parameters to optimize similarity search. However, performance tuning ...

Abstract: Retrieval-augmented generation pipelines store large volumes of embedding vectors in vector databases for semantic search. In Compute Express Link (CXL)-based tiered memory systems, ...

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL platform. Its adaptability and forward-thinking strategy continue to ...

Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...

EnterpriseDB (EDB), a leading sovereign AI and data company, announced new investments in petabyte-scale analytics, expanding EDB Postgres AI (EDB PG AI) for WarehousePG with real-time streaming and ...

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

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 ...

Integration with leading vector database enables ease of adoption within the open-source community and taking full advantage of SSD-optimized vector search capabilities TOKYO--(BUSINESS WIRE)--Kioxia ...

TL;DR: KIOXIA's open-source AiSAQ technology reduces DRAM needs by offloading vectorized AI data to SSDs, enabling scalable, low-latency Retrieval Augmented Generation (RAG) pipelines. Its integration ...