This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

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.

20 kmph! Now that can be the speed of a car (specially if it’s driving in Bangalore or Mumbai). But 20kmph towards the Northside- that’s more than speed. That’s velocity. Turns out one is a scalar ...

Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...

Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...

Vector database startup Pinecone Systems Inc. today announced a new, high-performance deployment option for customers that need to support the most demanding enterprise use cases. It’s called ...

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud ...

Amazon Web Services (AWS) has announced vector storage for its S3 cloud object storage – S3 Vectors – in a move it claims will reduce the cost of uploading, storing and querying vectorised data in AI ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Kioxia America, Inc. today announced that its AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with ...