RUS  ENG
Full version
JOURNALS // Computer Research and Modeling

Computer Research and Modeling, 2025, Volume 17, Issue 5, Pages 871–888 (Mi crm1302)

Using RAG technology and large language models to search for documents and obtain information in corporate information systems
I. V. Antonov, Yu. V. Bruttan

References

1. A. D. Beresnev, “The use of open LLM with RAG architecture for the organization of technical support for IT services”, Al’manakh nauchnykh rabot molodykh uchenykh Universiteta ITMO: Materialy Pyat’desyat tret’ei (LIII) nauchnoi i uchebnometodicheskoi konferentsii (Sankt-Peterburg, 29 yanvarya – 2 fevralya 2024 goda), Natsional’nyi issledovatel’skii universitet ITMO, Sankt-Peterburg, 2024, 44–48 (in Russian)
2. I. V. Borodulin, “Increasing the accuracy of large language models with advanced search generation”, Vestnik nauki, 3:3 (72) (2024), 400–405 (in Russian)
3. A. Yu. Zhigalov, I. P. Bolodurina, “Using the RAG method to analyze educational documents”, Tsifrovye tekhnologii v obrazovanii, nauke, obshchestve: Materialy XVIII Vserossiiskoi nauchno-prakticheskoi konferentsii (Petrozavodsk, 3–5 dekabrya 2024 goda), Petrozavodskii gosudarstvennyi universitet, Petrozavodsk, 2024, 54–56 (in Russian)
4. V. V. Zuparova, “Applying a hybrid approach based on RAG and LLM to improve response accuracy in intelligent support systems”, Sintez nauki i obrazovaniya kak instrument resheniya global’nykh problem sovremennosti: Sbornik statei po itogam Mezhdunarodnoi nauchno-prakticheskoi konferentsii (Omsk, 15 avgusta 2024 goda), OOO “Agentstvo mezhdunarodnykh issledovanii”, Sterlitamak, 2024, 79–81 (in Russian)
5. K. S. Izosimova, A. Yu. Solov’eva, V. V. Popov, T. Yu. Chernysheva, “Using augmented search generation in recommendation book systems”, Informatsionnye tekhnologii v obrazovanii, 2024, no. 7, 120–125 (in Russian)
6. I. V. Ovsyannikov, S. P. Sarychev, “Application of local language models for the development of a chatbot for technical support of users working with registers of accounts of the The Unified State information system in the field of healthcare of the Novosibirsk region”, Politransportnye sistemy: Materialy XIII Vserossiiskoi nauchno-tekhnicheskoi konferentsii s mezhdunarodnym uchastiem, Novosibirsk (24–25 oktyabrya 2024 goda), Sibirskii gosudarstvennyi universitet putei soobshcheniya, Novosibirsk, 2024, 480–484 (in Russian)
7. A. G. Oleynik, I. O. Datyev, A. A. Zuenko, A. M. Fedorov, A. V. Shestakov, I. G. Vishnyakov, “Using RAG technology to create an intelligent information system to support research search”, Trudy Kol’skogo nauchnogo tsentra RAN. Ser. Tekhnicheskie nauki, 15:3 (2024), 5–26 (in Russian)
8. V. O. Fedorov, R. A. Polyakov, “Large language models with advanced search generation: overview and prospects”, Original’nye issledovaniya, 13:12 (2023), 43–47 (in Russian)
9. M. Cheng, Y. Luo, J. Ouyang, Q. Liu, H. Liu, L. Li, S. Yu, B. Zhang, J. Cao, J. Ma, D. Wang, E. Chen, A survey on knowledge-oriented retrieval-augmented generation, 2025, arXiv: 2503.10677  mathscinet
10. Y. Gao, Y. Xiong, X. Gao, K. Jia, J. Pan, Y. Bi, Y. Dai, J. Sun, Q. Guo, M. Wang, H. Wang, Retrieval-augmented generation for large language models: a survey, 2023, arXiv: 2312.10997
11. I. Gusev, Russian fine-tunes of different base LLMs, https://huggingface.co/collections/IlyaGusev/saiga-6505d4ccc3d1e53166b636cd (accessed: 01.06.2025)
12. Hugging Face Hubhttps://huggingface.co/ (accessed: 01.06.2025)
13. Hugging Face: The AI community building the future, https://huggingface.co/ (accessed: 01.06.2025)
14. J. Johnson, M. Douze, H. Jégou, “Faiss: a library for efficient similarity search and clustering of dense vectors”, Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019, 9873
15. LangChain Team. LangChain. Building applications with LLMs through composability, https://github.com/langchain-ai/langchain (accessed: 01.06.2025)
16. P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. Yih, T. Rocktäschel, S. Riedel, D. Kiela, “Retrieval-augmented generation for knowledge-intensive NLP tasks”, Proceedings of the 34th International Conference on Neural Information Processing Systems (NIPS ’20), Curran Associates Inc, Red Hook, NY, 2020, 9459–9474
17. Vikhr models. Community, https://huggingface.co/Vikhrmodels (accessed: 01.06.2025)
18. L. Weng, Large language models: a survey, 2023, arXiv: 2303.18223


© Steklov Math. Inst. of RAS, 2026