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RAG Explained: What Is Retrieval-Augmented Generation?

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Notably, the term RAG was coined in a 2020 research paper by Facebook AI (Meta) that described retrieval-augmented generation as a general-purpose fine-tuning recipe for enhancing knowledge-intensive tasks. It can be used for RAG by orchestrating calls to Azure Cognitive Search (a vector search service) and an LLM (like Azure OpenAI Service).