Summary
In this chapter, we’ve taken our first look at LangChain and you should have a good understanding of what it is, the problems it solves, and its role in simplifying the development of complex LLM applications.
We’ve looked at the core components of LangChain, such as the LLM models, prompt templates, and output parsers. You should have a good understanding of the LCEL, its key features, and its role in creating and executing chains within the LangChain framework. Finally, the chapter has covered the various examples of LangChain chains, ranging from basic to complex, to illustrate the practical application of the concepts discussed.
In this chapter, we’ve only scratched the surface of Langchain, but hopefully, we’ve built a solid foundation for you to engineer LangChain applications and enable you to move on to the more complex concepts and applications of the LangChain library. In our next chapter, we’ll look at other concepts such...
