When it comes to GenerativeAI-powered applications, one of the most trending framework is that of Agent, which can be defined as highly-specialized entities that can achieve user's goal by panning and interacting with the surrounding ecosystem.
In this session, we are going to explore the main components that features AI Agents, such as LLMs, Prompts, Memory and Tools. We will also see architectural best practices to build robust and enterprise-scale agents, focusing on emerging trends like semantic caching and GraphRag.