Agentic RAG - Nailing GenAI Precision in Production

Learn to architect scalable, high-precision Agentic RAG systems using modern data streaming and microservices patterns in this 50-minute conference talk. Discover why 95% accuracy fails in production environments and understand the critical importance of achieving near-perfect precision to avoid costly legal and business risks. Explore the fundamental differences between RAG and fine-tuning approaches, and master advanced retrieval techniques including hybrid search, vector search, and re-ranking strategies. Understand the paradigm shift from traditional RAG to Agentic RAG, where focused agents replace monolithic "brain" architectures. Examine detailed agent architecture components including controllers, planners, and judges, and dive deep into various agent patterns such as orchestrator, hierarchical, blackboard, and market-based designs. Master systematic evaluation and monitoring techniques using tools like SelfCheckGPT and FEVER to nail precision in production systems. Learn to scale agent architectures from microservices to data streaming implementations using Kafka, and explore real-world applications in sales development, marketing operations, and cybersecurity fraud detection. Address common precision traps in text-to-SQL implementations and discover templating solutions. Gain insights into the critical role of LLM-as-a-Judge and iterative feedback loops for eliminating model hallucinations and maximizing trust in autonomous agents.