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Retrieval-Augmented Generation (RAG)

Currently LLMs have these 2 problems:
  1. 1.
    They lack valid source while generating text.
  2. 2.
    They are often out-of date.
The RAG framework is a new approach to solve these problems. In this appraoch a LLM first finds relevant passages from a large corpus (content store like the Internet) and then generates text based on user prompt. This way it solves both the problems mentioned above.