Summary
In this chapter, we dove deeper into the fundamentals of LangChain, since it will be the AI orchestrator used in the upcoming chapters: we got familiar with LangChain components such as memory, agents, chains and prompt templates.We also covered how to start integrating LangChain with Hugging Face Hub and its model catalog, how to use the available LLMs and start embedding them into your code.From now on, we will see a series of concrete end-to-end use cases, starting from a Semantic Q&A Search app that we are going to develop in the next chapter.
