Retrieval-Augmented Generation (RAG)

Currently LLMs have these 2 problems:

  1. They lack valid source while generating text.

  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 They are often out-of date.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.

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