The Billion-Token Tender: Why RAG Isn't Fading, It's Gearing Up Every few weeks, a new headline seems to toll the bell for Retrieval-Augmented Generation (RAG). With language models now boasting context windows of a million tokens or more, the argument goes, why bother with the complexity of retrieving information? Why not just put the entire library in the prompt? It’s a seductive idea. A world of effortless, boundless context where you can ask an AI to reason over an entire corporate archive i...