Discover how these advanced technologies work together to create intelligent, adaptable, and collaborative AI agents capable of tackling complex, real-world challenges. Whether you're developing applications for automation, decision-making, or user interaction, this framework unlocks new possibilities for seamless multi-agent orchestration.

Explore how the Semantic Kernel empowers agents to comprehend and process complex data structures, enabling sophisticated reasoning and decision-making. Paired with AutoGen, the framework provides a robust system for creating, managing, and deploying multiple agents working collaboratively to achieve shared objectives. You’ll gain insights into how these tools simplify development, allowing you to focus on innovation rather than technical complexities.

This session highlights the key components of a multi-agent ecosystem, including skill definition, workflow customization, and agent interaction. Learn how Retrieval-Augmented Generation (RAG) enhances information retrieval and decision-making, while knowledge graphs provide a structured backbone for efficient data organization and querying. These tools work in harmony to deliver agents that are both intelligent and efficient, designed for scalability and adaptability.

Whether you're an AI enthusiast, developer, or strategist, this session will provide you with actionable insights into leveraging multi-agent frameworks. Join us to explore the future of AI collaboration, where intelligent agents work together to create transformative solutions tailored to the demands.