The NEW Way to Build RAG Agents in Minutes (n8n Tutorial)

Get my 1-1 support to Start and Scale your AI Agency: https://bit.ly/4d05w1s Get the FREE n8n Workflow Template from this video: https://www.skool.com/the-ai-automation-circle The NEW Way to Build RAG Agents in Minutes (n8n Tutorial) In this video, I show you how to build a complete RAG (Retrieval-Augmented Generation) AI agent from scratch. We'll use n8n, Pinecone, and OpenAI to build an AI chatbot that can "learn" from any document (like a PDF) and answer specific questions about its contents. We'll cover: - What RAG (Retrieval-Augmented Generation) is and why it's the key to building powerful AI agents. - How to set up a free Pinecone vector database to act as your AI's "brain." - Workflow 1 (Ingestion): How to automatically trigger a workflow when a new file is added to Google Drive, download it, and "embed" its contents into your Pinecone database. - Workflow 2 (Querying): How to build the AI chatbot using the n8n AI Agent node that can query your Pinecone database to find relevant information and answer user questions. - The exact setup for the AI Agent, Pinecone Vector Store, OpenAI Embeddings, and Google Drive Trigger nodes. Timestamps 00:00 - Intro 00:34 - The 2-Part Automation 02:32 - The Core Concept 04:12 - Step 1: Building the "Ingestion" 09:24 - How to Set Up Pinecone Account 10:29 - Creating Your Pinecone Index 12:55 - n8n Workflow: Default Data Loader 13:15 - Running the Ingestion Workflow 14:08 - Step 2: Building the "Query" Workflow 15:13 - n8n Workflow: Pinecone Vector Store 17:11 - The AI Agent's System Prompt 18:04 - Final Demo 18:32 - Outro