From the course: Level up LLM applications development with LangChain and OpenAI

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RAG: Overview and architecture

RAG: Overview and architecture

From the course: Level up LLM applications development with LangChain and OpenAI

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RAG: Overview and architecture

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- Both Langchain and OpenAI are powerful libraries used for building AI-driven applications, and OpenAI offers a large sets of language models for different use cases and capabilities. Then you have LangChain, which is a framework designed to leverage the power of the language models with a number of components designed to build AI-driven applications. So we know that the language models have many capabilities, but also limitations, because language models' training data are limited in time. They are limited by the amount of training data that they have access to. For example, let's see, for the GPT-4 Turbo language model, which has a training data cut-off date, which means that it doesn't have access to information beyond this date, which is December, 2023, which affects the model's ability to generate accurate and up-to-date information. So all the language models are trained on a large dataset that covers a wide range of topics. They don't possess specialized knowledge in a…

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