LangGraph Tutorial with Practical Example

LangGraph, developed by the LangChain team, is a library for creating graph-based AI applications with single or multiple agents. It allows developers to control agent interactions, tool usage, and information flow. Key components include the State object for maintaining context, nodes for performing actions, and edges for connecting nodes. The library enables the creation of complex AI workflows, as demonstrated through a resume improvement application example using OpenAI's GPT-4. LangGraph's flexibility makes it useful for building various AI-powered tools and applications.