TEACHx 2024

Join specialists from the Northwestern University Libraries as we delve into the recent integration of generative AI with our expansive digital collections. Discover how a search technique called Retrieval-Augmented Generation (RAG) is being used to provide accurate and context-rich library data to state-of-the-art generative AI models. This innovation enables a new way of interacting with library collections though conversational language, while ensuring that the generative AI model is provided accurate and up-to-date information with each question. Through interacting with the new search experience, participants will explore the growing importance of data science literacy in navigating AI tools through lens of interacting with library materials. This endeavor is not just about technological innovation, but also about enabling ways to explore library materials using tools that reduce complexities often associated with large-scale digital libraries and could potentially alleviate some of the "library anxiety" that students often report when conducting research. Our digital poster will offer participants temporary pre-release access to the new AI-backed digital collections search feature throughout the session. Attendees will be able to directly interact with the innovative tool to get a practical introduction to the technology discussed during the presentation.