The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...

A 'picker' gathers items at Amazon's Fulfilment Centre in Peterborough, central England, on November 28, 2013. 'Cyber Monday' which falls this year on Monday December 2, 2013, is expected to be the ...

New MongoDB Atlas Vector Search integration with Amazon Bedrock to help accelerate development of highly engaging applications powered by generative AI Scalestack among customers excited to build next ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

SAN FRANCISCO--(BUSINESS WIRE)--Airbyte, creators of the fastest-growing open-source data movement platform, today made available additional connectors for the Milvus, Qdrant and Weaviate vector ...

After trying to broaden its user base to include traditional database professionals last year, MongoDB is switching gears, adding features to turn its NoSQL Atlas database-as-a-service (DBaaS) into a ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--DataStax, the real-time AI company, today announced the general availability (GA) of its vector search capability in Astra DB – the popular database-as-a-service ...

Timescale, the cloud database company, is debuting Timescale Vector, a robust platform for building production AI applications at scale with PostgreSQL. Developed as a response to the ever-evolving ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Couchbase is updating its namesake NoSQL ...

Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.