What’s key in the market is that developers anywhere can now add a vector database, with its production-ready capabilities and lightning-fast search of unstructured data, to AI applications.

“With Vector Search, Tigris Data gives developers the ability to deliver fast, accurate, and personalized recommendations to their users,” said Tariq in a release. “This powerful tool is designed to ...

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 enhancement ...

This allows vector search results to be refined with other criteria to give more accurate results. General databases may miss some of the niche SVDB features, but you'll need to consider whether ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

With the launch of Redis 7.2 today, the startup’s cloud and software-based data stores gain a new scalable search feature that supports something known as vector similarity search.

Data platform vendor DataStax is entering the vector database space, announcing the general availability of vector search in its flagship Astra DB cloud database.. DataStax is one of the leading ...

He explained that the new service helps customers analyze existing Neptune graph data or data lakes on top of S3 storage, taking advantage of vector search to find key insights.

Vector databases are all the rage, judging by the number of startups entering the space and the investors ponying up for a piece of the pie. The proliferation of large language models (LLMs) and ...

While most AI is data-driven and therefore dependent on database technology, advances in database technology have not in themselves driven advances in AI, and AI has generally not yet revolutionized ...