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Graph-Based Retrieval-Augmented Generation: Applications, Challenges, Solutions, and Opportunities

Summary: Tutorial on graph-based RAG that surveys applications, challenges, and methods. Reframes RAG as a data-management pipeline—graph modeling/repair, index maintenance, and retrieval—and highlights multimodal extensions and open directions. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h2d7b0c8e3e630386
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
11,029 | 25.85%
DOI
10.14778/3827998.3828147

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BibTeX Citation

@article{bonifati_vldb26,
        title = {{Graph-Based Retrieval-Augmented Generation: Applications, Challenges, Solutions, and Opportunities}},
        author = {Bonifati, Angela and Fang, Yixiang and Wang, Sibo and Zhou, Yingli},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4900--4905},
        doi = {10.14778/3827998.3828147},
        url = {https://doi.org/10.14778/3827998.3828147},
        year = {2026}
}

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