SOLR-18424: add oversampling + raw dense vector reranking - #4919
Open
liangkaiwen wants to merge 4 commits into
Open
liangkaiwen wants to merge 4 commits into
liangkaiwen wants to merge 4 commits into
Conversation
Contributor
Author
|
Exploring a bug where Lucene's RescoreTopNQuery can get an index out of bounds exception when the inner query returns 0 documents |
…out of bounds exception when docs is zero
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
https://issues.apache.org/jira/browse/SOLR-18424
Description
Solr 10 introduced Binary Quantization, however the recall drop-off is fairly sharp when used as-is. This can be partially offset by oversampling (retrieving more total documents from HNSW graph) and reranking (using raw non-quantized vector values from .vec). While reranking is possible through the standard Solr reranking feature, it is cumbersome syntactically and easy to get wrong. This aims to offer a cleaner and performant oversampling/reranking natively in the KNN query parser
Solution
Code mostly written by Claude Opus 5
Latency / Recall Benchmarks
To be added soon
Tests
Checklist
Please review the following and check all that apply:
mainbranch../gradlew check.