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Definetion of RAG(Retrieval-Augmented Generation) Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response (AWS: https://aws.amazon.com/what-is/retrieval-augmented-generation/ ) RAG (Retrieval-Augmented Generation) refers to a process where artificial intelligence models use external databases to obtain relevant information and generate more accurate responses. (h ttps://www.meilisearch.com/blog/what-is-rag ) Retrieval-Augmented Generation (RAG) is an advanced AI framework that combines information retrieval with text generation models like GPT to produce more accurate and up-to-date responses. Instead of relying only on pre-trained data like traditional language models, RAG fetches relevant documents from an external knowledge source before generating an answer. ( https://www.geeksforgeeks.org/nlp/what-is-retrieval-augmented-...