Retrieval-Augmented Generation (RAG) – Imagine deploying a generative artificial intelligence engine to handle customer support requests during a massive holiday shopping rush. For the first few hours, everything runs smoothly. Customers receive instant, helpful replies. Then, a consumer asks a complex question about a localized promotional policy.
Instead of admitting it lacks the answer, the ungrounded model confidently invents a 50% discount code. Within hours, the error spreads across social media, costing your brand thousands of dollars in unintended refunds and a major public relations headache.
Last Comments