Vikasht34 commented on issue #15612: URL: https://github.com/apache/lucene/issues/15612#issuecomment-3824741766
> I think there is space for these two families of vector search algos in Lucene. The graph based algos, where we should try optimizations like Hnsw + PQ (with disk access for full precision), and single layered Hnsw. And cluster based algos that help with highly selective filters, remote store setups and billion scale use-cases. Quantization applies across the board for both these approaches. I totally agree with this, Variants like single-layer HNSW also make sense for faster builds and more merge-friendly segments. In contrast, cluster-based approaches (IVF / partition-first / SPANN-like) are a better fit for billion-scale datasets, highly selective filters, and remote or tiered storage. -- 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]
