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What is Retrieval-Augmented Generation (RAG)?
RAG, or Retrieval-Augmented Generation, is an AI framework that combines retrieval-based methods with generative models. It enables language models to fetch relevant external information and generate responses grounded in real-world data, improving accuracy and contextual relevance.
RAG, or Retrieval-Augmented Generation, is an AI framework that combines retrieval-based methods with generative models. It enables language models to fetch relevant external information and generate responses grounded in real-world data, improving accuracy and contextual relevance.
