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Learn to build a complete RAG (Retrieval-Augmented Generation) pipeline using no-code tools in this 16-minute tutorial. Discover how to create an automated system that keeps your database synchronized with source files, ensuring your AI agents always access accurate and up-to-date information. Master the step-by-step process of connecting n8n, Google Drive, and Supabase to build a reliable data pipeline that automatically updates when files are modified and removes outdated information when files are deleted. Explore the critical importance of data pipeline management for RAG systems, understand why outdated information makes AI responses unreliable, and follow along as you set up initial document upload processes, configure automatic update mechanisms, and implement deletion workflows. Gain practical experience with no-code automation tools while building a foundation for trustworthy AI agent development, complete with detailed explanations suitable for beginners to advanced practitioners.
