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Posted to issues@lucene.apache.org by "kaivalnp (via GitHub)" <gi...@apache.org> on 2026/08/12 01:46:52 UTC
Re: [PR] Implement data-blind scalar quantization [lucene]
kaivalnp commented on PR #16030:
URL: https://github.com/apache/lucene/pull/16030#issuecomment-5261121969
Sorry for getting to this PR so late, but I realized that data-blind quantization would be super helpful for another use-case too: in an attempt to support multiple HNSW graphs backed by the same vector storage (#14758), we need to be able to effectively de-duplicate vectors across fields.
Lucene currently supports a centroid-centered quantization, which might cause the same raw vector to be quantized differently across different fields. If it is data-blind (i.e. centered on the zero vector), quantized bytes can be sanely de-duplicated.
See #16506.
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