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Today, we're building an AI Agent to optimize a resume based on a job description. I'll show you how easy it is to create this agent using LangGraph. We'll also cover how LangGraph works and its key components: Nodes, Edges, and State. By the end of the tutorial, you'll be comfortable choosing LangGraph to create similar or more complex workflows. This video will give you a quick tour of the most popular frameworks, including the latest one, OpenAI Swarm so that you can make the right choice for your business or application. We'll go over the following: AutoGen, crewAI, LangGraph from LangChain, and OpenAI's Swarm. -- The Getting Started with AI Blog Get access to all source code by becoming a member now https://www.gettingstarted.ai/#/portal Grab the source code here: https://www.gettingstarted.ai/langgra... -- Connect with me: Subscribe: @gswithai Follow on X: / gswithai 👉 Book Consultation: https://forms.gle/XXE8tA2jBWFWYHaf8 -- Resources: LangGraph Website: https://www.langchain.com/langgraph LangGraph State Management: https://langchain-ai.github.io/langgr... VS Code Theme: https://github.com/ayu-theme/vscode-ayu -- Timeline: 00:00 Introduction 01:24 How does LangGraph work? 01:47 LangGraph Nodes 02:17 LangGraph Edges 03:20 LangGraph State 05:01 Installing Packages and Creating Files 07:00 VS Code Demo 09:24 Creating Tools 11:06 Using OpenAI Function Calling 12:00 Creating the Resume Expert Function 13:23 Conditional Edge Function 14:02 Building the LangGraph Graph 16:47 Demo: Running the Application