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June 10, 2026Automatic Documentation and Mathematical Linguistics

Queries to Nonrelational Data Using Natural Language Based on a Large Language Model

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Authors

AEA. O. ErkimbaevVZV. Yu. ZitsermanGKG. A. Kobzev

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Overview

Randomized trial explores natural language query effectiveness in nonrelational databases, suggesting future applications for enhanced search capabilities.

Key Points

  • The research aims to enhance the organization of natural language queries in nonrelational scientific databases.
  • Investigated the AllegroGraph graph database for natural language search capabilities.
  • Examined the functionality of a metadata system for thermophysical properties with a thermal domain ontology.
  • Conducted tests in a bilingual (English and Russian) database environment.
  • Identified general challenges in implementing natural language queries in nonrelational databases.
  • Demonstrated potential improvements achievable with large language models in enhancing search functionalities.

Cite This Study

Erkimbaev et al. (2026) studied this question.

synapsesocial.com/papers/6a28ffc76f82f25be989c8fahttps://doi.org/10.3103/s0005105526700111
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Also Consider

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  4. 4Aligning Large Language Models to a Domain-specific Graph Database2024
  5. 5A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?2024 · 6 citations