What is Retrieval-Augmented Generation (RAG)?

[Dataqix]

<span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">The technology of </span></span><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;">retrieval-augmented generation</span></span><span dir="auto" style="vertical-align: inherit;"><span dir="auto" style="vertical-align: inherit;"> is a technique that combines information retrieval and the usage of generative AI technologies. Contrary to the traditional use of just the information included in the language model itself, in the case of RAG technology, first, the relevant information is retrieved from a reliable source of information and then used by the model for generating the response. To put it simply, the term rag meaning refers to the process of first retrieving the relevant information and then using it in order to provide a response. If somebody asks about what is a rag in AI, it can be said that it is a method that provides an AI model with the access to external information when necessary.</span></span>

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