Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a ...

It could be summed up as the intersection of generative AI and an enterprise search engine. Initial representations of RAG architectures do not shed any light on the essential workings of these ...

Learn More Enterprises are spending time and money building out retrieval-augmented generation (RAG) systems. The goal is to have an accurate enterprise AI system, but are those systems actually ...

When generative AI emerged, Visa saw this as a perfect use case, applying retrieval-augmented generation (RAG) to not only pull out information up to 1,000X faster, but cite it back to its sources ...

Real-world questions and actionable insights are where the rubber of AI meets the road of real business context, and the importance of the retrieval step in RAG cannot be understated. Before ...

People within Mainline Information Systems see the new Infinidat RAG workflow deployment architecture a big step in the right direction in the AI world, said Bob Elliott, vice president of storage ...

Using the RAG approach could deliver a major boost to government ambitions to adopt AI effectively, argues writes Peter Dutton at Elastic In the UK government’s drive to improve public services, high ...

To meet objectives like these, users of generative AI are looking to retrieval-augmented generation (RAG) environments for improved contextual results, actionable data, and reduced time to ...

the densest GPU-capacity inside liquid-cooled racks and an AI model-buffing Agentic RAG with Nvidia. Dell Technologies says its AI advances in servers offer customers the densest GPU capacity ...