Evaluation of search-enabled pretrained Large Language Models on retrieval tasks for the PubChem database

MOTIVATION: Databases are indispensable in biological and biomedical research, hosting vast amounts of structured and unstructured data, facilitating the organization, retrieval, and analysis of complex data. Database access, however, remains a manual, tedious, and sometimes overwhelming, task. The availability of Large Language Models (LLMs) has the potential to play a transformative role in accessing databases.