Retrieval Augmented Generation is a popular technique in Generative AI providing the ability to generate great conversations on private data. This technique is very powerful, anyway, there are new emerging techniques that can substantially improve the quality of the answers as well as providing more reliable answers.
In this session we will see the Chain of Though, Agents, Tools and how to coordinate them to obtain better results.
We will also see how your app should provide a great System Prompt as well as choosing the right set of Tools (Agents) to provide deterministic answers when needed.
Raffaele Rialdi has a master's degree in Electronic Engineering and is a Senior Software Architect working as a consultant, speaker, and trainer. Since 2003, he has been a Microsoft MVP in the Developer Security category. He is the president of DotNetLiguria and co-founder of the Italian C++ user group. He is currently working as an architect and developer on the backend of an enterprise project with a specific focus on code generation and working on cross-platform mobile and IoT development in C# and C++ languages.
