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LangGraph Tutorial: Build a Customer Support AI Agent

This article provides a step-by-step guide to building a customer support agent named ShopBot using LangGraph. The agent is designed to handle customer inquiries about orders, refunds, and complaints. It incorporates memory to recall conversation history, utilizes tools to access order data, and includes a human approval step before processing refunds. The guide emphasizes planning the agent's workflow by visualizing it as a graph before writing any code. AI

IMPACT Provides a practical example of integrating memory, tools, and human oversight into an AI agent for customer support.

RANK_REASON The article describes how to build a specific application using existing AI tools, rather than announcing a new AI model or research.

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LangGraph Tutorial: Build a Customer Support AI Agent

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Bessie Delight Kekeli ·

    Your First Real LangGraph Project:

    <h4>Building a Customer Support Agent with Memory, Tools, and Human Approval</h4><p><em>For other parts of the series : </em><a href="https://medium.com/@bessiedelight/the-building-blocks-of-langgraph-1975904edac8?source=user_profile_page---------4-------------4a5744f8548f-------…