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 ...

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 ...

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 ...

“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 ...