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From 3 TB RAM to 96 GB: superseding billion vector HNSW with 40x cheaper DiskANN

blog.wilsonl.in · published 10 August 2025

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https://suhasjs.github.io/files/diskann_neurips19.pdf
suhasjs.github.io
https://github.com/nmslib/hnswlib/issues/47
github.com
https://static.googleusercontent.com/media/sre.google/en//static/pdf/rule-of-thumb-latency-numbers-letter.pdf
static.googleusercontent.com
https://milvus.io/docs/v2.3.x/load_collection.md
milvus.io
https://www.vldb.org/pvldb/vol12/p461-fu.pdf
vldb.org
https://github.com/nmslib/hnswlib/issues/4
github.com
https://github.com/nmslib/hnswlib/blob/c1b9b79af3d10c6ee7b5d0afa1ce851ae975254c/hnswlib/hnswalg.h
github.com
https://en.wikipedia.org/wiki/Edge_contraction
en.wikipedia.org
http://corpus-texmex.irisa.fr/
corpus-texmex.irisa.fr
https://github.com/wilsonzlin/CoreNN/blob/b336dcea9521a3ae747f6112a0ad7d98e715b9f4/tools/calc_dists.py
github.com
https://github.com/wilsonzlin/CoreNN/tree/master/hnswlib-rs
github.com
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