LangGraph 워크플로우 템플릿 (v39)

<h1> LangGraph 워크플로우 템플릿 (v41) </h1> <h2> 개요 </h2> <p>LangGraph는 LangChain과 함께 사용할 수 있는 고급 워크플로우 엔진으로, AI 에이전트의 복잡한 실행 흐름을 정의하고 관리할 수 있게 해줍니다. 이 가이드는 실전에서 사용 가능한 4가지 핵심 워크플로우 템플릿을

<h1> Building Production AI Agents with LangGraph: Beyond the Toy Examples </h1> <p>Every AI tutorial shows you a chatbot that answers questions. That's not an agent. An agent

<p>A single AI agent with a few tools can handle simple tasks. But real-world workflows — process a customer refund, generate a research report, onboard a new user — involve

<h1> LangGraph State Machine Patterns — How to Stop AI Agents from Going Off-Script </h1> <h2> The "Agent Does Something Unexpected" Problem </h2> <p>LLM-powered agents that run

<p>Most LangGraph content stops at the notebook. You build a cute ReAct loop, it answers one question, and the article ends before the hard part: <em>how do you actually serve

<p>Managing chronic conditions like Type 1 Diabetes is an exhausting, 24/7 mental load. Patients have to constantly monitor <strong>Continuous Glucose Monitor (CGM)</strong> data,

<p>When it comes to healthcare, "hallucination" isn't just a quirky AI bug—it's a critical safety risk. Building a system that flags <strong>Drug-Drug Interactions (DDI)</strong>