Vikasht34 commented on issue #15612: URL: https://github.com/apache/lucene/issues/15612#issuecomment-3812411127
@vigyasharma Thanks for detailed Idea, I was wondering Since our goal to server big Indexes which can go along with High Dimension with Image catalogs and build low memory footprint, Do u think we should think of DiskAnn which is tailored for this use case, Cheap PQ codes in Memory, Full precision high quality graphs on Disk. I see couple of hickups with posting based, even though we have coarse Index , eventually we will be doing Brute force on Posting List. When we have higher dimention data , we will have problems with memory bandwidth and lots of IO operations. On the other side with DiskAnn , It can work well the way HNSW working right now ,Always bring seeded entry points from Graph becuase With PQ we can get those entry points. [1] https://arxiv.org/pdf/2211.12850 [2]https://suhasjs.github.io/files/diskann_neurips19.pdf -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
