Naive RAG operates straightforwardly, following three main steps: indexing, retrieving, and generating, allowing for effective information processing and response generation.
RAG systems became popular alongside Transformer models, a breakthrough in deep learning that introduced the concept of 'attention' and parallel processing, enhancing data sequence understanding.
#retrieval-augmented-generation #large-language-models #machine-learning #artificial-intelligence #transformer-models
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