<ul><li>Retrieval augmented generation (RAG) is a hybrid approach in AI language models that combines generative and retrieval-based methods.</li><li>RAG combines the ability of generative models to create coherent text with the precision of retrieval systems that access a vast database of pre-existing knowledge.</li><li>Unlike standalone language models, RAG models can query external sources in real-time to enhance the accuracy and contextuality of their responses.</li><li>RAG is proving to be a pivotal development in areas such as content generation, customer service, and research.</li></ul>

Retired Augmented Generation

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