Large Language Models (LLMs) enable natural language interfaces for data retrieval, but their tendency to hallucinate hinders their adoption in scientific applications that require high accuracy. Unlike deterministic traditional APIs (Application Programming Interface), LLMs introduce inherent uncertainty, posing critical challenges for reliable geoscience data access. This paper presents OpenMindatAI, a system that leverages...

The integration of machine learning (ML) and deep learning (DL) into geoscience has experienced a pronounced uptick in recent years, a trend propelled by the intricate nature of geosystems and the abundance of data they produce. These computational methods have been harnessed across a spectrum of geoscientific challenges, from climate modeling to seismic analysis, exhibiting notable efficacy in extracting valuable insights fro...