BatANN delivers near-linear throughput scaling for distributed disk-based approximate nearest neighbor search on a single global graph, with 3.5-5.59x gains over scatter-gather baselines on 1B-point datasets at 0.95 recall.
InProceedings of the 20th International Conference on World Wide Web(2011), ACM, pp
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Passing the Baton: High Throughput Distributed Disk-Based Vector Search with BatANN
BatANN delivers near-linear throughput scaling for distributed disk-based approximate nearest neighbor search on a single global graph, with 3.5-5.59x gains over scatter-gather baselines on 1B-point datasets at 0.95 recall.