Geo-RAG: Gaining Insights from Unstructured Geological Documents with Large Language Models

Summary This paper introduces Geo-RAG, a customized retrieval augmented generation (RAG) framework that utilizes large language models (LLMs) for the digital transformation of unstructured geological documents, offering a more efficient and accurate method for extracting insights. The integration of advanced AI technologies in the Geo-RAG framework marks a significant advancement in geological document processing and information retrieval, demonstrating the potential for substantial efficiency gains and improvements in accuracy in the domain of earth science.