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First Steps with LangChain
In the previous chapter, we explored LLMs and introduced LangChain as a powerful framework for building LLM-powered applications. We discussed how LLMs have revolutionized natural language processing with their ability to understand context, generate human-like text, and perform complex reasoning. While these capabilities are impressive, we also examined their limitations—hallucinations, context constraints, and lack of up-to-date knowledge.
In this chapter, we’ll move from theory to practice by building our first LangChain application. We’ll start with the fundamentals: setting up a proper development environment, understanding LangChain’s core components, and creating simple chains. From there, we’ll explore more ...
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