Agent design | artificial intelligence | Application development
In this article we will explore “LangGraph”, a cutting-edge tool for creating truly useful LLM agents.
First, we’ll review what an “LLM agent” is, some popular agent design approaches, and some of their practical shortcomings. Then, we’ll discuss how LangGraph can be used to address these shortcomings and create more useful and maintainable agents.
Once we understand why LangGraph exists, we'll explore the technology in a hands-on way through something called a “state graph.” We'll use this state graph to build an agent that is capable of performing a complex task that requires the agent to deal with natural conversation, strict rules, and application logic. This will serve as a demonstration of how robust and customizable LangGraph agents are.
By the end of this article, you'll understand why LangGraph exists, why it's important, and how to use it in your own projects.
Who is this useful for? Anyone who wants to gain comprehensive knowledge about the state of the art of ai. This article will be especially interesting for those who…
