The sooner an organization realizes this as an architectural imperative, the sooner they will be able to capture the ...

WALTHAM, Mass., Nov. 15, 2024 — Infinidat, a leading provider of enterprise storage solutions, has announced its Retrieval-Augmented Generation (RAG) workflow deployment architecture to enable ...

Generative AI (GenAI) has found an unexpected “partner” in a type of information technology that CIOs tend not to prioritize for AI – enterprise storage. Because data is central to the activation and ...

Data security startup Immuta Inc. today announced new data governance and audit capabilities for retrieval-augmented generation-based generative artificial intelligence solutions across multiple cloud ...

Retrieval Augmented Generation (RAG) is supposed to help improve the accuracy of enterprise AI by providing grounded content. While that is often the case, there is also an unintended side effect.

If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...

Retrieval-augmented generation (RAG) is a sophisticated technique used in large language models (LLMs) that combines the power of neural network-based text generation with the precision of information ...

Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...