Use of IVF with HNSW32 coarse quantizer#243
Open
abhinavdangeti wants to merge 1 commit intomasterfrom
Open
Conversation
Bringing back the coarse quantizer into use per observations Aditi recorded earlier. A slight adjustment now is to deploy it only over a vector count of 100000.
Member
Author
|
@metonymic-smokey would you share the numbers you have comparing the considered index classes for this doc count at the unit level. |
Contributor
|
Numbers from go-faiss unit level testing - nq = 100, k = 100 256 dims
512 dims
1024 dims
2048 dims
These numbers were prior to the latest go-faiss PRs being merged. |
Member
Author
|
Hmm, but per the numbers you've shared it seems even at higher dims the QPS seems to fall with the coarse quantizer? |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Bringing back the coarse quantizer into use per observations Aditi recorded earlier. A slight adjustment now is to deploy it only over a vector count of 100000.