Wisdom-Driven Knowledge Augmented Generation at Scale

Explore how Wisdom-Driven Knowledge Augmented Generation (KAG) systems can revolutionize AI capabilities beyond traditional Retrieval-Augmented Generation (RAG) approaches in this 19-minute conference talk from the AI Engineer World's Fair. Learn the fundamental differences between knowledge and knowledge graphs, and discover why KAG systems excel at quantitative analysis and expert-level reasoning compared to vector-based RAG systems that rely primarily on unstructured search. Examine the Wisdom-Decision Making-Situation framework that enables AI systems to not only retrieve information but also understand context and provide intelligent advice. Follow a practical demonstration of building a competitive analysis chatbot using N8n and multi-agent systems, showcasing real-world implementation strategies. Understand the specific challenges that vector RAG faces with numerical reasoning and complex data relationships, and see how knowledge graphs address these limitations. Gain insights into building hybrid KAG systems that combine the strengths of both approaches, including graph extraction techniques and performance benchmarks. Master the technical foundations needed to create smarter AI systems capable of expert-level analysis and decision support across various domains.