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What if #LLMs had context windows so large that an entire knowledge base could fit into a single prompt? This would revolutionize Retrieval-Augmented Generation (RAG) applications by enabling retrieval, re-ranking, reasoning, and generation all in one step. With a Long-Context Language Model (LCLM), we could simplify RAG architecture by leveraging the model’s capability for In-Context Retrieval and Reasoning (ICR²).