In our previous article Context as architecture: A practical look at retrieval-augmented generation, we treated retrieval-augmented generation (RAG) as an architectural idea. We explored why retrieval exists, how it changes the system around a language model, and where its boundaries lie. That framing is necessary, but incomplete.Once teams move beyond prototypes and begin operating RAG systems in production, a new reality sets in. Retrieval does not fail loudly. It fails subtly, probabilistically, and often convincingly. Systems return an answer, grounded in some source, even when that source
Red Hat MWC Barcelona NewsroomFollow Red Hat's news from the world’s largest mobile industry event including customers and partners like Bell Canada, Telenor AI Factory, Telefónica, NVIDIA and more. Learn more Telstra advanced autonomous networks ambition through breakthrough collaboration with Red Hat, Dell Technologies and CiscoTelstra has reached a key milestone in its journey toward building one of the world’s most advanced autonomous networks by successfully demonstrating an AI-enabled self-healing capability, in collaboration with Red Hat, Dell Technologies and Cisco. Learn more