Introduction
Since the rise of LLMs, numerous libraries have emerged to simplify their integration into applications. Among them, LangChain quickly established itself as the go-to reference. Thanks to its modular approach, it allows chaining model calls, interacting with vector databases, and structuring intelligent agents capable of reasoning and acting. For a long time, it was seen as a must-have for anyone looking to build generative AI solutions.