Retrieval-Augmented Generative Agent for Reaction Condition Recommendation in Chemical Synthesis
Retrieval-Augmented Generative Agent for Reaction Condition Recommendation in Chemical Synthesis
Kexin Chen,Junyou Li,10 Authors,Guangyong Chen
0 Citations
TLDR
This study presents a transfor-mative AI agent that automates the reaction condition recommendation (RCR) task in chemistry using retrieval-augmented generation (RAG) technology, significantly out-performing conventional AIs confined to the fixed knowledge within its training data.
