RAG or Retrieval-Augmented Generation is a term coined in the 2020 paper: “Retrieval“Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks” Tasks” Explained simply, Retrieval Augmented Generation attempts to give more context-specific answers asked of an LLM by augmenting the prompt by retrieving a set of context-specific information.
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