You've hit the wall with generic AI responses and need precision for your specific data, across bigger sets of data than CustomGPTs will let you upload. This workshop bridges the gap between simple ChatGPT projects and enterprise-grade retrieval systems. This hands-on workshop shows you how to architect, build, and deploy RAG systems that handle complex queries with precision. Turn your data into a reliable AI assistant, not just another chatbot. What You'll Learn: - Understand When RAG Transforms Your AI Projects. See real examples of use cases where RAG delivers precision that Custom GPTs can't match—from sales transcript analysis to support documentation—and identify the signs your project needs this level of accuracy. - Build Your First RAG System Using N8N and Supabase. Construct a working retrieval system that chunks, vectorizes, and searches your data with proper metadata enrichment—plus get the complete N8N template to launch your own RAG projects immediately. - Launch for Testing and Plan Your Interface Strategy. Deploy a functional RAG system ready for real queries, then explore the best interface approaches for your use case—from automation workflows to chatbot frontends—and decide whether conversational memory is worth the complexity.