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Mayya Sharipova commented on LUCENE-10471: ------------------------------------------ [~sstolpovskiy] [~sokolov] Thanks for providing your suggestions. It looks like we clearly see the need for upto 2048 dims for images, so I will be merging the linked PR. > Increase the number of dims for KNN vectors to 2048 > --------------------------------------------------- > > Key: LUCENE-10471 > URL: https://issues.apache.org/jira/browse/LUCENE-10471 > Project: Lucene - Core > Issue Type: Wish > Reporter: Mayya Sharipova > Priority: Trivial > Time Spent: 40m > Remaining Estimate: 0h > > The current maximum allowed number of dimensions is equal to 1024. But we see > in practice a couple well-known models that produce vectors with > 1024 > dimensions (e.g > [mobilenet_v2|https://tfhub.dev/google/imagenet/mobilenet_v2_035_224/feature_vector/1] > uses 1280d vectors, OpenAI / GPT-3 Babbage uses 2048d vectors). Increasing > max dims to `2048` will satisfy these use cases. > I am wondering if anybody has strong objections against this. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org