RAG, or Retrieval-Augmented Generation, was first proposed in 2020 by Facebook AI Research. This method enhances generative AI models by accessing external information to improve accuracy. Initially, RAG relied on unstructured data, but has since evolved to include structured sources like knowledge graphs, documents, articles etc. In the insurance industry, RAG can be a game-changer. It can improve chatbots, Q&A.. Read more
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