LangChain

Large language models (LLMs) are the fundamental components required to develop generative AI applications. However, as we will discuss in this book, these applications needed to be extended with state management, retrieval of supplementary data, interactions with the API, and so on. Such extended systems are often referred to as LLM-augmented autonomous agents (LAAs), which are computer programs capable of interacting with their environment and solving complex tasks with their underlying LLM by leveraging past observations and actions [1]. LAAs need orchestration, which is a process through which the LAA controls the underlying LLMs and coordinates the planning and step-by-step execution of a task.

LangChain is one of the most popular open source frameworks for LLM orchestration. Harrison Chase launched it as an open source project in 2022, and it attracted a lot of attention and quickly grew in popularity [2]. In February 2024, the LangChain team raised a Series A round...