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Learn to build an AI-powered RAG (Retrieval-Augmented Generation) agent in n8n that can automatically upload hundreds of files to a Pinecone vector database. Master the step-by-step process of creating scalable workflows that handle bulk document uploads, moving beyond single-file limitations to process 14+ files automatically with potential for hundreds more. Discover how to prepare your data effectively, construct a comprehensive vector database workflow, and build a complete RAG AI agent system. Explore the automation techniques that make large-scale document processing effortless, whether you're working with existing AI agents or starting fresh with n8n automations. Follow along as the tutorial demonstrates the entire process from initial setup through final implementation, showing you how to scale your AI automation projects for any business use case.
