Digital Assistant for Geologist-Researchers

Main Article Content

Vitaliy Sergeevich Eremenko
Vera Viktorovna Naumova

Abstract

This article presents the concept and architecture of a multi-agent system designed to function as a digital assistant for geologist researchers. The system aims to automate key stages of scientific research: from topic formulation and literature review to hypothesis generation and presentation of results. The article describes the system's integration with the GeologyScience.ru platform, which provides access to diverse geological data and analysis tools, as well as approaches to adapting large-scale language models (LLM) to solve specialized scientific problems.

Article Details

How to Cite
Eremenko, V. S., and V. V. Naumova. “Digital Assistant for Geologist-Researchers”. Russian Digital Libraries Journal, vol. 28, no. 4, Nov. 2025, pp. 781-7, doi:10.26907/1562-5419-2025-28-4-781-787.

References

1. KoBold used AI to find copper — now investors are piling in to the tune of $537M. URL: https://techcrunch.com/2025/01/02/kobold-used-ai-to-find-copper-now-investors-are-piling-in-to-the-tune-of-537m/
2. Cifrovaja sistema «Gazprom nefti» nashla novye plasty nefti v JaNAO. URL: https://www.gazprom-neft.ru/press-center/news/tsifrovaya-sistema-gazprom-nefti-nashla-novye-plasty-nefti-v-yanao/
3. Gottweis J., Wei-Hung Weng, Daryin A. et al. Towards an AI co-scientist // arxiv.org. 2025. https://doi.org/10.48550/arXiv.2502.18864
4. Naumova V.V., Eremenko V.S., Zagumennov A.A., Patuk M.I. Nauchnyj portal Geologyscience.ru: tekushhee sostojanie i perspektivy razvitija// Geoinformatika. 2023. № 3. S. 33–43.
5. Naumova V.V., Patuk M.I., Erеmenko A.S., Zagumеnnov A.A., Erеmenko V.S. Cifrovye tehnologii budushhego — sovremennye reshenija v naukah o Zemle // Geoinformatika.  2024.  № 3.  S. 53–63.
6. Erеmenko V.S., Naumova V.V., Zagumеnnov A.A. Razrabotka virtual'nyh prostranstv s intellektual'nym adaptivnym interfejsom dlja cifrovyh geologicheskih sistem // Informacionnye i matematicheskie tehnologii v nauke i upravlenii. 2024. № 1 (33). P. 146–153.
7. DeepSeek 1R. URL: https://www.deepseek.com


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