Vector database company Qdrant has released a dataset with 10 billion documents to help put large-scale vector search systems through their paces. Benchmarking these systems isn’t easy, particularly ...

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.

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 ...

Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how. The world of data is rapidly changing ...

Vector search, sometimes referred to as vector similarity search, is a technique that uses vectors -- numerical representations of data -- as the basis to conduct searches and identify relevance. A ...

Vast Data Inc. today announced enhancements to its Vast Data Platform, enabling it to support structured and unstructured data in a single DataSpace with linear and secure scaling. The enhancements ...

Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video, audio, ...

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 ...