Introduction to LangChain
Get an overview of the LangChain framework, the components it offers, and how it works with the RAG.
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LLMs are widely used in applications, and it can be troublesome to build and manage all the modules manually. Here comes LangChain, which assists us with pre-built tools to perform different LLM tasks in our applications. In this lesson, we’ll learn about the LangChain framework and how it helps us with the RAG.
What is LangChain?
LangChain is a framework available in Python and Javascript for developing LLM-based applications. It provides tools for easily integrating LLMs into real-world applications and helps chain different modules together. We can use LangChain’s building blocks components and modules to perform different tasks during our application development.
LangChain provides us with a toolkit for prompt engineering and structuring the input prompts for the LLM. The prompt instructions directly impact the output generated by the LLM, so the LangChain allows us to use templates for the prompts that help us refine the input for the model. As the name suggests, it provides us with ...