Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

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 ...

“Bringing vector search natively to the database server lets customers extend the same database they’re already using throughout their organization to new AI applications. We’ve also prioritized peace ...

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

Vector databases will become vital resources for businesses using location-based data in the future because to improved integration with cutting-edge technology, cross-industry applications, and a ...

Teradata has introduced the Enterprise Vector Store, an in-database solution aimed at enhancing vector data management for Trusted AI applications. This solution is designed to address ...

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 ...

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...

German software giant SAP has announced a vector data store for its SAP HANA Cloud, to be available in the first quarter of 2024. Vector stores are a critical part of AI applications, retrieving data ...

The increasing use of AI-driven applications, such as recommendation engines and fraud detection, is fueling the demand for vector databases.