Field of Study:

Retrieval Augmented Generation (RAG) is a concept that combines two key components: retrieval and generation. It involves retrieving relevant information from a large dataset or knowledge base and then using that information to generate natural language text or responses based on that retrieved information. RAG models typically consist of a retrieval module and a generation module, allowing them to access external knowledge to enhance the quality and relevance of generated text.

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