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LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System

Summary: LANNS is an end-to-end, web-scale ANN platform addressing HNSW’s limitations on 100M+ high-dimensional datasets. Production deployments support top-k search over ~180M points at millisecond latency and ~2.5K QPS per node. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13144
Venue
VLDB
Year
2022
Pagerank
6.4241124e-05
Overall Rank
4,965 | 65.94%
DOI
10.14778/3503585.3503594

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{doshi_vldb22,
        title = {{LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System}},
        author = {Doshi, Ishita and Das, Dhritiman and Bhutani, Ashish and Kumar, Rajeev and Bhatt, Rushi and Balasubramanian, Niranjan},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {4},
        pages = {850--858},
        doi = {10.14778/3503585.3503594},
        url = {https://doi.org/10.14778/3503585.3503594},
        year = {2022}
}

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