n8n RAG Masterclass - Build AI Agents + Systems that Actually Work
AI Summary
In this comprehensive masterclass on AI Automators NAND RAG, participants will engage in a hands-on learning experience focusing on practical applications rather than theoretical concepts. The course is designed for various skill levels including beginners, intermediates, and advanced users, with a no-code approach in the initial lessons and gradual progression into coding with AI models. Key concepts include building a robust RAG system utilizing a vector store via Superbase, handling different file types, implementing web scraping for data ingestion, and optimizing search results using hybrid search and ranking systems. The course also emphasizes maintaining high accuracy in information retrieval and guides users through generating contextual summaries for data chunks to enhance the effectiveness of AI agents. By the end of the course, users will have a functional RAG system ready for real-world applications, supplemented with comprehensive resources shared within the community.