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Learn to build an enhanced RAG (Retrieval-Augmented Generation) AI agent using n8n with this comprehensive 34-minute tutorial that demonstrates a more automated approach to creating intelligent document processing systems. Discover the advantages of using Postgres over Window Buffer and explore the differences between Supabase and Pinecone for vector storage solutions. Follow along as you set up database connections, create Supabase tables, and implement workflows for both new file processing and updating existing files. Master the step-by-step process of connecting Postgres databases, configuring Supabase integration, and building automated workflows that can handle document ingestion and updates seamlessly. Explore potential system enhancements and witness live testing of the active workflow to validate functionality. Gain practical insights into no-code AI automation techniques while building a production-ready RAG system that represents a significant improvement over previous implementations.
