Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

When designing search systems, the decision to use keyword-based search, vector-based search, or a hybrid approach can significantly impact performance, relevance, and user satisfaction. Each method ...

According to GigaOm, vector databases deliver quantifiable operational improvements such as 40-60% enhancement in search relevance and a 30-50% reduction in infrastructure costs through consolidation ...

What if your AI agents could consistently deliver results that are both razor-sharp and deeply intuitive? For too long, developers have struggled with the limitations of traditional search ...

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 ...

Oracle Corp.’s flagship database management system is now available as a cloud service. Oracle Database 23ai features vector search and more than 300 additional major features, with many focused on ...

Kioxia Corporation today announced the successful demonstration of achieving high-dimensional vector search scaling to 4.8 billion vectors on a single server with its open-source KIOXIA AiSAQ(TM) ...