Vector databases explained through speed vs velocity: why AI needs vectors, not rows and columns, to manage context, ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As generative AI usage has grown dramatically in the last several years, ...

AiSAQ™ approximate nearest neighbor search (ANNS) software technology has been integrated into Milvus (starting with version ...

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage ...

Vector databases will become vital resources for businesses using location-based data in the future because to improved integration with cutting-edge technology, cross-industry applications, and a ...

Zilliz recently announced that Milvus, its open-source vector database, has surpassed 40,000 GitHub stars, marking one of the fastest growth spurts in the project's history. The milestone comes as ...

Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database ...

The increasing use of AI-driven applications, such as recommendation engines and fraud detection, is fueling the demand for vector databases.

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 ...