LangGraph Core Components Explained with a Simple Graph
Last Updated on August 28, 2025 by Editorial Team
Author(s): A.Venkatesh
Originally published on Towards AI.
What Are We Building?
If you’ve been curious about LangGraph and how it can help you build smart, dynamic AI workflows, you’re in the right place.
This article explains LangGraph’s core components—State, Nodes, Edges, and Graph Execution—by illustrating how to build a simple example with three nodes and one conditional edge that demonstrates data flow and decision-making in LangGraph. The post covers details of each component through Python code, highlights their functionalities, and ultimately shows how to create and execute a full graph, making it easy to build modular workflows effectively.
Read the full blog for free on Medium.
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