RAG (Retrieval-Augmented Generation) is not dead, despite the introduction of GPT-4.1 with 1M token context windows.Massive context windows have their limitations in terms of cost, latency, and scale, making them challenging to use in real-world applications.RAG provides benefits such as cost-effectiveness, traceability, and suitability for use cases with large amounts of data.While context windows may continue to grow and new architectures may emerge, RAG remains vital for real-world use by companies.