RAG enhances LLM knowledge by incorporating external data, enabling AI applications to reason about information not included in their initial training data.
In this tutorial, you will learn how to use a technique known as retrieval-augmented generation (RAG) alongside the OpenAI API and the LangChain framework to build a time-saving and cost-effective interactive command line application that allows you to retrieve information from a YouTube video without having to watch it.
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