Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the leading high-performance open-source vector database, today announced the launch of BM42, a pure vector-based hybrid search approach that delivers more ...

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 ...

Viruses have evolved by borrowing and modifying cellular genes to become extremely efficient at nucleic acid delivery to different cell types, avoiding at the same time immunosurveillance by an ...

Vector databases are the unsung heroes of the modern AI movement, storing unstructured data such as images, videos and text to enable people and systems to search uncategorized content. They are ...

Zilliz, a trailblazer in vector database technology, is releasing Milvus 2.4, introducing a new standard in vector search capabilities with a groundbreaking GPU indexing feature powered by NVIDIA’s ...

“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 ...