Graphs as the Backbone of Robust, Scalable and Interoperable Agentic Applications

When building LLM-based applications, the transition from simple chains to sophisticated graph-based architectures has revolutionized how we build agentic applications. 

This talk will guide you through a comprehensive journey from foundational concepts to production-ready implementations, demonstrating how graphs serve as the architectural backbone for creating robust, scalable, and interoperable agentic systems. 

As AI applications grow in complexity, traditional linear chains become insufficient for handling the nuanced decision-making, multi-step reasoning, and iterative refinement that modern AI systems require. 

Graph-based architectures provide the flexibility, transparency, and scalability needed to build production-grade agentic applications.