In this video, we test Retrieval-Augmented Generation (RAG) workflows built on both OpenAI Agent Builder and n8n, comparing how each platform handles AI automation, agent logic, and no-code integration in 2025. You’ll see a side-by-side build of the same Stock Market Analyst Agent in both tools, revealing key differences in setup, flexibility, and usability for developers and no-code creators. Whether you’re new to OpenAI’s Agent Builder or already using n8n for workflow automation, this comparison helps you decide which platform is better for AI agent workflows and automation in 2025. ⏱ TIME STAMPS 00:00 Introduction — Overview of Agent Builder vs n8n 00:47 Building a Stock Market Analyst Agent in n8n 02:03 Getting Started with OpenAI Agent Builder 03:46 Setting Up the Agent’s Core Functionality 07:28 Testing and Troubleshooting in Agent Builder 11:41 Recreating the Same AI Agent in n8n 15:12 Comparing Advanced Features and Limitations 17:29 Final Thoughts and Conclusion — Which Performs Better? 📂 RESOURCES Sign up for n8n here: https://n8n.partnerlinks.io/automatewithmarc Download Free n8n Workflow Template here: https://n8n.io/creators/marconi/ 💡 WHAT YOU'LL LEARN • How RAG fits into AI automation workflows • Differences between OpenAI Agent Builder and n8n setups • Real-world performance and troubleshooting tips • Which tool is better suited for 2025 automation use cases Get in touch with me by following my IG handle: @automatewithmarc or email: automatewithmarc@gmail.com #n8n #OpenAIAgentBuilder #AIautomation #RAG #NoCodeAI #n8nTutorial #AgentBuilder #AutomationTools #AIAgent

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