Chatbot implementation using LangGraph | Towards artificial intelligence

Last updated: December 29, 2025 by the editorial team

Author's): Rashmi

Originally published in Towards Artificial Intelligence.

LangGraf

The LangGraph chatbot is best understood as:

Chatbot implementation using LangGraph | Towards artificial intelligence

Chatbot = (State) + (Transitions) + (Node Behaviors)

This article explains the concepts and design principles of a LangGraph chatbot deployment, highlighting the importance of structure, state management, and concurrency. It presents various design principles, including the separation of layers of reasoning and execution, the need to control uncertainty in LLM using graphs, and the basic elements of a graph. Practical use cases illustrate the differences between LangGraph and traditional models, highlighting how LangGraph increases the reliability of chatbot applications by providing controlled and deterministic interactions.

Read the entire blog for free on Medium.

Published via Towards AI


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