Generative artificial intelligence (AI), especially large language models (LLMs) offer new possibilities in chemistry. However, the ability of generative AI to "hallucinate" and return false information is well documented. One common technique to prevent hallucinations is the injection of reliable chemical information from trusted sources. So called Retrieval-Augmented Generation (RAG) AI is a powerful tool for chemical educators and researchers alike. Wolfram developed Chat Notebooks in 2023 to facilitate chat-based access to LLMs and deterministic tools that improve them. Building deterministic chemical tools, including RAGs, from trusted chemical data is a critical skill for the next generation of undergraduate chemists. Examples of chemical tool and RAG creation are provided along with best practices for chemical practitioners.
Harnessing the Power of AI in Undergraduate Research and Training
Division of Chemical Education (CHED)
David Reiss - Wolfram Solutions, Champaign, IL
Jason L. Sonnenberg - Wolfram|Alpha, Champaign, IL
LOCATION
Washington, DC
Convention Center
Convention Center
FORMAT
In-Person

Jason Sonnenberg
From RAGs to
Chemical Riches
American Chemical Society
Fall Meeting 2025
Academic Innovation Support (AIS)