The Future of Information Retrieval: Building Smarter Systems with RAG

The next evolution of AI is here — and it’s powered by Retrieval-Augmented Generation (RAG). By combining the vast knowledge of large language models with your organization’s own data, RAG systems can deliver more accurate, insightful, and context-aware responses than ever before.
In this session, you’ll learn how RAG is transforming documentation, content creation, and question-answering systems across industries. We’ll dive into how it works, explore common challenges such as managing large requests and reducing bias, and demonstrate practical strategies for building scalable, reliable RAG systems in C#.
By the end, you’ll understand how to harness the power of RAG to elevate your business operations, turning raw data into smarter decisions and faster innovation.