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RAG architectures let a prompt to tell an LLM to work with delivered resource materials as the basis for answering a question, which means the LLM can cite its resources and is not as likely to assume solutions with no factual basis.RAG is a technique for enhancing the precision, dependability, and timeliness of Large Language Models (LLMs) which a