Nvidia and AWS have expanded their partnership to make AI cheaper to run at production scale, detailed by Nvidia on June 24.

Enterprise AI cost reduction is within reach for most mid-market companies — but only if five structural cost drivers are ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often ...

Veesker is source-open under Apache 2.0 — every line of application code is public. A paid subscription unlocks premium features at runtime via a feature flag served by api.veesker.cloud. The flag ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents. The classic RAG workflow (chunk documents, calculate ...

At Oracle AI World, Larry Ellison delivered a keynote blending grand AI vision with Oracle's practical enterprise solution: using RAG and vectorization to let companies safely apply AI models to their ...

Mission: Deliver a modern database that seamlessly integrates traditional RDBMS capabilities with cutting-edge features like vector search, temporal queries, adaptive compression, and comprehensive ...

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 ...