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.

WP Engine's AI Toolkit easily integrates advanced AI features to WordPress sites, including smart search and personalized ...

Then, in September 2022, Algolia acquired Search.io to expand its search capabilities, adding new vector search functionality.. The new NeuralSearch service is a combination of Algolia’s keyword ...

Vector database offers on-prem, cloud-native, or SaaS deployment, leading performance, a rich set of integrations and language drivers, and a dizzying array of optimization options.

S3 Vectors allows customers to store AI vector data in S3 object storage, a move that potentially allows for much cheaper storage of vectorised data usually held in vector databases.

MongoDB says Vector Search ... The KNN algorithm was first developed in 1951, and KNN has been routinely used in Web applications for several decades. However, until recently, database applications ...

DataStax customers can now use Astra DB’s new vector search capabilities on AWS, Microsoft Azure and Google Cloud Platform, where it originally launched.

Pinecone, a vector database for machine learning, announced the ability to combine keywords with semantic questions in a hybrid search today. TechCrunch Desktop Logo TechCrunch Mobile Logo Latest ...

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.

Anuff explained that DataStax’s vector search uses vector columns as a native data type in Astra DB. With vectors as a data type, Astra DB users can query and search much as they would with any ...