Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

What Google's TurboQuant can and can't do for AI's spiraling cost ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...

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.

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

Oracle announces agentic AI capabilities for Oracle AI Database, including Private Agent Factory, Deep Data Security, and ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

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 ...

The technique aims to ease GPU memory constraints that limit how enterprises scale AI inference and long-context applications ...

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 ...