How to Build Effective Agentic Systems with LangGraph

Agentic frameworks like LangGraph simplify working with AI models by abstracting complexities like state handling and tool-calling. This tutorial demonstrates how to build an agentic system using LangGraph to create a document management application. The workflow involves routing a user's request to one of three intents: adding, deleting, or querying a document. The implementation uses an LLM with structured output to classify the intent and then directs the process to the appropriate tool node within the graph. The process highlights how to define the graph's state, nodes, and conditional edges to create a functional AI workflow.