What is Retrieval Augmented Generation (RAG)?
Retrieval-Augmented Generation (RAG) enhances the power of AI by combining information retrieval with generative models. This approach grounds AI responses in factual, external data, leading to more accurate, reliable, and contextually relevant content. RAG reduces errors and hallucinations, boosting the overall performance and trustworthiness of AI models.
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