What is Retrieval augmentation generation?

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Retrieval augmentation generation is a technique used in natural language processing to improve the quality of generated responses by combining retrieval-based and generation-based methods.

Retrieval augmentation generation involves retrieving relevant information from a knowledge base or corpus and then using this information to generate a response.
It combines the benefits of retrieval-based methods (which provide accurate and factual information) with generation-based methods (which can produce more diverse and fluent responses).
For example, in a chatbot system, retrieval augmentation generation may involve retrieving relevant answers from a FAQ database and then using this information to generate a more personalized response to the user's query.

What is Retrieval augmentation generation?

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