Vector embeddings are produced by foundational models such as OpenAI's ChatGPT and are used to represent chunks of language – like words or phrases. The idea is to add vector search to a database, ...

A vector database is a specialized system designed to store and retrieve unstructured data—such as images, text, and audio—by converting it into mathematical representations known as vector ...

Exasol offers an in-memory, column-oriented relational database system that’s specifically ... The database is designed to work with GPUs and other vector processors to ingest, analyze and ...

For many businesses, there's no question that agentic AI will be a game changer, unlocking the value of data that's been ...

OpenSearch 3.0 addresses this challenge and enables users to increase efficiency, deliver superior performance, and accelerate AI application development via new data management, AI agent, and vector ...

Forrester emphasizes that traditional databases are no longer able to meet the growing demands of generative AI due to limitations in supporting modern vector multidimensional data and performing ...