Learn to design and deploy advanced AI agents in this comprehensive technical webinar that explores the integration of n8n's low-code self-hosted AI starter kit with Qdrant's vector database capabilities. Discover how to leverage vector databases beyond simple similarity search for diversity search, anomaly detection, and classification - particularly valuable in limited-label scenarios and evolving class structures. Master practical techniques for making LLMs produce consistent formatted output, seamlessly integrate tools with AI agents, and effectively debug agentic pipelines. Through real-world examples, explore how AI agents can detect anomalies in satellite imagery at global scale and moderate spam content. Gain hands-on experience in overcoming common production challenges while building versatile AI agents that harness the full potential of vector databases as more than just similarity search engines.