Is your feature request related to a problem? Disk-based vector search was added in OpenSearch 2.17. This feature uses binary quantization to decrease the memory footprint of vector search while ...

I’ve noticed that when using PG-Vector for large-scale distance calculations, performance can become an issue. The core functionality in PG-Vector is excellent, but for massive distance computations, ...

Oracle Corp. today is rolling out the latest version of its Exadata database-optimized computing platform, claiming 55% better performance on vector searches used in artificial intelligence model ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

Many modern applications, such as recommendation systems, image and video search, and natural language processing, rely on vector representations to capture semantic similarity or other relationships ...

This announcement aligns with both Formula E, the FIA and Jaguar's long-term goals for sustainability and innovation in the automotive industry - both on and off track. The landmark agreement ...

Distance calculation is essential in various fields like physics, mathematics, engineering, geography, and everyday life. Knowing how to measure distance accurately and efficiently allows us to ...

In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...

Calculator.io introduces the Distance Formula Calculator, optimizing spatial calculations for professionals, educators, and students in diverse fields. LAS VEGAS ...