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In this video, I show how to use OpenAI’s new Responses API with built-in tools for seamless web search and file-based vector search. This simplifies AI agent setups by removing the need for extra integrations like Perplexity or separate vector stores. The demo covers asking questions that require either document lookup via a Supabase vector database or real-time information retrieved through web search. You’ll see the exact workflow, from API key setup to attaching files for vectorization and querying both external and internal data sources with one unified interface. I conclude by highlighting the differences between previous multi-tool setups and this streamlined approach, showcasing consistent and accurate results with minimal configuration. Timestamps: 00:00 Introduction 00:10 Demo Old Setup (Perplexity + Vector Store) 01:09 Demo New Setup (OpenAI Responses API) 01:42 Introduction to OpenAI Responses API 02:02 Obtaining an OpenAI API Key 02:36 Setting Up Web Search 03:10 Setting Up File Search (RAG) 04:52 Conclusion Links: n8n workflow: https://drive.google.com/file/d/1a2oX... OpenAI Storage: https://platform.openai.com/storage OpenAI API Keys: https://platform.openai.com/api-keys n8n OpenAI Built-in Tools Documentation: https://docs.n8n.io/integrations/buil... Twitter/X Profile: https://x.com/renato_diniss Need some help book a call: https://www.upwork.com/services/produ... Don't forget to like, share, and subscribe for more n8n automation tips!