ZDNet

RAG can make AI models riskier and less reliable, new research shows

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...
VentureBeat

Does RAG make LLMs less safe? Bloomberg research reveals hidden dangers

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.
VentureBeat

Visa’s AI edge: How RAG-as-a-service and deep learning are strengthening security and speeding up data retrieval

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Global payments giant Visa operates in ...
Morningstar

Progress Software Unveils Breakthrough SaaS RAG Platform Designed to Make Trustworthy and Verifiable Generative AI Accessible Across Organizations of all Sizes

Progress Agentic RAG serves diverse users, from small businesses to global enterprises, leveraging intelligent AI agents that ingest, retrieve and reason across all content types with speed, ...