What is Retrieval Augmented Generation RAG?

Описание: Retrieval Augmented Generation (RAG) is an AI framework that combines a large language model's (LLM) generative capabilities with a traditional information retrieval system to create more accurate, up-to-date, and contextually relevant responses. It works by first retrieving relevant information from a specific knowledge base or set of documents and then using that information to ground the LLM's generated output. This method provides more trustworthy answers than a standalone LLM by using verified data, and it can be updated more easily by adding new documents rather than retraining the entire model.



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