A vector database becomes essential when handling unstructured data requiring complex algorithmic work, such as high-dimensional data, similarity searches, real-time AI applications, or when ...

AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, ...

Although vector databases have been around for decades, their application was limited. Forrester estimates the current adoption rate of vector databases at 6%, with a projected surge to 18% over ...

With Redis Data Integration (RDI) in the Redis 7.2 update, the company is providing an integrated approach to help get data from other data sources including Oracle Database, PostgreSQL, MySQL and ...

These are trained on data sets used for different applications. We use one tuned for Q&A, # hence the 'qa' in the name. There are other embedding models, some tuned for speed, some for breadth, etc.

“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 ...

A variety of mutations in lentiviral vector expression systems have been shown to generate a non-integrating phenotype. We studied a novel 12 base-pair U3-long terminal repeats (LTR) integrase (IN ...