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QueryCraft: A Natural Language-Driven NoSQL Database Querying System Powered by Large Language Models

Summary: Interactive MongoDB interface translating natural-language questions into inspectable aggregation pipelines, with schema browsing, results, history, and execution feedback. Pluggable Text-to-NoSQL generation combines schema grounding, guarded decoding, repair, and consistency checks while exposing failures and metadata. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h039535336d9945b4
Venue
VLDB
Year
2026
Pagerank
-
Overall Rank
13,600 | 8.57%
DOI
10.14778/3827998.3828114

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BibTeX Citation

@article{lu_vldb26,
        title = {{QueryCraft: A Natural Language-Driven NoSQL Database Querying System Powered by Large Language Models}},
        author = {Lu, Jinwei and Qin, Zhiqian and Zhang, Chen and Zhang, Haodi and Song, Yuanfeng and Wong, Raymond Chi-Wing},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4754--4757},
        doi = {10.14778/3827998.3828114},
        url = {https://doi.org/10.14778/3827998.3828114},
        year = {2026}
}

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