RAG vs Long Context: When a Million-Token Window Meets Traditional Retrieval

The landscape of large language model architecture shifted dramatically when context windows expanded from thousands to millions of tokens. An experiment pitting retrieval-augmented generation against full-corpus context delivery reveals that fitting everything into memory does not automatically translate into better performance, a finding with direct implications for traders building AI-assisted…