Artificial intelligence is evolving faster than most organizations can keep up with, and I’ve seen teams make the same mistake repeatedly: focusing on which large language model (LLM) to deploy, while ...

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

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 ...

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Progress Software, the trusted provider of AI-powered digital experience and infrastructure software, is launching Progress Agentic RAG, a SaaS Retrieval-Augmented Generation (RAG) platform designed ...

Claim your complimentary copy of "Unlocking Data with Generative AI and RAG" (worth $31.99) for free, before the offer ends on Dec 3. Generative AI is helping organizations tap into their data in new ...

In today’s data-driven world, efficient data retrieval has become critical for organizations striving to maintain a competitive edge. Slow retrieval processes and high operational costs are common ...

To date, much of the early conversation about putting AI into production at scale has centered on the need for good prompt engineering — the ability to ask the right questions of this powerful ...

‘The same things that help you understand your storage and optimize it, the same capabilities, are applicable to AI, except it's now about the value of the data. It's not about the storage cost of the ...