Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a comprehensive podcast episode featuring Tom Smoker, Technical Founder of whyhow.ai, discussing the management of small knowledge graphs for multi-agent systems. Delve into the challenges of using RAG (Retrieval-Augmented Generation) in generative models, focusing on repeatability and accuracy issues in multi-agent pipelines. Learn how knowledge graphs can structurally ground agents and improve system reliability. Discover insights on integrating graphs and vectors, data integration for robust knowledge graphs, and strategies for scoped knowledge retrieval. Examine RAG limitations and potential solutions, the complexities of working with multi-agent systems, and the future of agent-based systems with modular processes. Gain valuable perspectives on balancing risk tolerance in company operations and leveraging AI for high-quality content generation.