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)
Incoming Non-self Citations Over Time
Authors
- 1. Ishita Doshi (LinkedIn)
- 2. Dhritiman Das (LinkedIn)
- 3. Ashish Bhutani (Uber)
- 4. Rajeev Kumar (LinkedIn)
- 5. Rushi Bhatt (Compass)
- 6. Niranjan Balasubramanian (LinkedIn)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,760 | Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment | 2024 | SIGMOD | 9.8157819e-05 |
| 6,148 | Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes | 2024 | VLDB | 5.9593368e-05 |
| 7,124 | GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces | 2025 | VLDB | 5.6961208e-05 |
| 7,166 | Accelerating Graph Indexing for ANNS on Modern CPUs | 2025 | SIGMOD | 5.6846045e-05 |
| 9,360 | DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search | 2026 | SIGMOD | 5.2819088e-05 |
| 9,776 | Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal | 2025 | VLDB | 5.2209769e-05 |
| 9,918 | HAKES: Scalable Vector Database for Embedding Search Service | 2025 | VLDB | 5.1955087e-05 |
| 10,585 | RED-ANNS: An RDMA-Enabled Distributed Framework for Graph-Based Approximate Nearest Neighbor Search | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 705 | HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces | 2018 | VLDB | 0.00014829964 |
| 1,430 | VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning | 2020 | VLDB | 0.0001080902 |
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