



DiskANN is a pure ANN index library implementing Vamana graphs for disk-based billion-scale approximate nearest neighbor search with low memory footprint. Features GPU acceleration, dynamic updates, cached SSD search, C++/Python bindings. Suited for custom vector engines handling large cold datasets in search/recommendations, benchmarks; more disk-efficient than HNSWLib vs full DBs like Qdrant.
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DiskANN
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