Amr Awadallah

Advanced Enterprise RAG Systems

The need for accurate, contextually relevant, and timely information has never been greater. Retrieval Augmented Generation (RAG) systems combine the power of sophisticated information retrieval with the dynamic capabilities of generative AI. All this helps enterprises move beyond traditional search and query methods to enable the generation of responses that are not only grounded in the most relevant data but also tailored to specific business contexts. This talk will explore how Advanced RAG systems enable you to interact with their data, transforming customer engagement, decision-making processes, and content generation. Attendees will gain insights into the architecture of RAG systems, including how they integrate with existing enterprise data ecosystems. We will also examine the future potential of RAG systems, highlighting emerging trends such as data privacy, conversational AI system design, and agentic techniques that allow for even more actionable and nuanced responses. We will discuss four common design patterns for putting a RAG application into your stack.