How to Build Effective Agentic Systems with LangGraph

LangGraph is an agentic AI framework that simplifies building AI workflows by abstracting state management and tool usage. The framework uses graph-based architecture with nodes (LLM calls or tools) and edges (conditional logic) to create structured workflows. A practical example demonstrates building a document management system with intent classification routing to handle create, delete, and search operations. While LangGraph reduces boilerplate code and provides open-source flexibility, it still requires significant setup and may introduce framework-specific debugging challenges.