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Retrieval-Augmented Generation in 2026: Beyond the Hype Cycle
Retrieval-Augmented Generation (RAG) has evolved from an emerging AI concept into a practical enterprise technology. In 2026, organizations are no longer asking whether they should adopt RAG—they are evaluating how to deploy it securely, accurately, and at scale. By combining large language models (LLMs) with real-time access to trusted business data, RAG enables AI systems…