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Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs

Summary: Chat2Data enables natural-language analysis of unstructured and structured data. Its three-layer design combines domain-aware RAG, vector databases to reduce LLM calls, and pipeline agents for decomposed multi-round reasoning—targeting hallucination, cost, and accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13876
Venue
VLDB
Year
2024
Pagerank
6.4614955e-05
Overall Rank
4,886 | 66.48%
DOI
10.14778/3685800.3685905

Incoming Non-self Citations Over Time

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BibTeX Citation

@article{zhao_vldb24,
        title = {{Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs}},
        author = {Zhao, Xinyang and Zhou, Xuanhe and Li, Guoliang},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4481--4484},
        doi = {10.14778/3685800.3685905},
        url = {https://doi.org/10.14778/3685800.3685905},
        year = {2024}
}

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