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Learn to build a powerful RAG (Retrieval-Augmented Generation) AI chatbot using n8n and Pinecone in this comprehensive 43-minute tutorial. Master the process of creating an automated system that monitors Google Drive for new documents, processes them through a vector database, and powers an intelligent chatbot capable of answering questions based on your uploaded content. Follow along as you set up Google Drive triggers for automatic document detection, configure Pinecone as your vector storage solution, implement the RAG architecture for enhanced AI responses, and integrate everything with Airtable for task management. Discover how to create a daily-use AI agent that can intelligently retrieve and generate responses from your own document library, making this an essential automation tool for businesses and individuals looking to leverage their existing content through AI-powered conversations.
Syllabus
0:00 Intro
2:36 Create Google Drive trigger
8:00 Polling Google Drive
12:00 Pinecone vector store
21:26 Create RAG chatbot
32:18 Create AI tasks in Airtable
42:20 Conclusion
Taught by
Jono Catliff