Retrieval Augmented Generation, The Seminal Papers: Principles for architecting reliable and verifiable AI

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Retrieval Augmented Generation (RAG) is a standard process for grounding LLM prompts in user-specified content rather than relying only on a model’s training data. RAG has grown from a simple prompt engineering workflow into a sophisticated set of data analysis, storage, and retrieval techniques. T...