Building Multi-Agent Workflows with LangChain + LangGraph: Researcher, Writer & Critic Tutorial

Description

Stop building single-prompt AI and start building AI Teams. In this video, we dive into the game-changing world of Multi-Agent Workflows using LangChain and LangGraph. We move beyond simple LLM calls to build a sophisticated "Researcher-Writer-Critic" pipeline where multiple AI agents work together, critique each other, and iteratively improve their work—just like a real human team. What you will learn in this tutorial: Multi-Agent Fundamentals: Why moving from a single agent to a collaborative team is the future of AI development. LangGraph Deep Dive: Mastering the key concepts of nodes, edges, and state management for complex workflows. Building the Pipeline: A step-by-step walkthrough of building a system that researches topics, writes content, and refines it through iterative critique. Advanced Patterns: Exploring coordinators, parallel execution, and how to scale your agent architectures. Production Best Practices: Critical tips on avoiding common pitfalls and optimizing your multi-agent systems for reliability. Whether you're a developer or an AI researcher, this guide gives you the skills to build autonomous systems that produce high-quality, refined results. #LangGraph #LangChain #AIAgents #MultiAgentSystems #GenerativeAI #Python #ArtificialIntelligence #MachineLearning #AITutorial #LLM