Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

Object storage specialist teams up with Nvidia to provide RAG-based chatbot capability for organisations that want to mine in-house information in an air-gapped large language model.

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Wikimedia Deutschland has revealed a new project to make information on Wikipedia accessible to artificial intelligence (AI) ...

A cycle-accurate alternative to speculation — unifying scalar, vector and matrix compute ...

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 ...

Databricks has added FedRAMP Moderate and IRAP compliance support to Mosaic AI Vector Search standard endpoints, enabling ...

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Many professionals are bogged down by mundane activities that eat up valuable time. The good news is that AI can offer a solution. Vector Shift, an AI automation platform, is designed to streamline ...