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Retrieval Augmented Generation (RAG) represents a cutting-edge approach in the field of artificial intelligence, specifically in natural language processing. RAG enhances the capabilities of traditional language models by integrating retrieval mechanisms that fetch relevant external information to supplement the model’s responses. This blend of retrieval and generation processes significantly improves the contextual relevance and accuracy of the outputs. Importance and ...
Read More »Understanding Retrieval Augmented Generation (RAG)
