Support new VAMANA vector type #3702
Open
+1,020
−6
Conversation
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
…upport-for-vamana-vector-type-in-ft-create
ofekshenawa
force-pushed
the
add-support-for-vamana-vector-type-in-ft-create
branch
from
5542b84 to
7f78eb0
Compare
|
Several RESP 3 tests are failing. Can you take a look? Also, can you please add a few tests for async client - I don't think we need all the tests to be duplicated there - but just 3-4 that will contain the new configurations... |
ofekshenawa
force-pushed
the
add-support-for-vamana-vector-type-in-ft-create
branch
from
040992e to
5044695
Compare
ofekshenawa
force-pushed
the
add-support-for-vamana-vector-type-in-ft-create
branch
from
2fb3633 to
1171e0e
Compare
petyaslavova
approved these changes
Jul 11, 2025
petyaslavova
approved these changes
Jul 11, 2025
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Outdated suggestions cannot be applied.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.
This PR adds comprehensive support for SVS-VAMANA vector search algorithm in redis-py, providing a high-performance approximate nearest neighbor search capability with advanced compression options.
Core Implementation
SVS-VAMANAalgorithm support toVectorFieldclassCompression Support
Build Parameters
CONSTRUCTION_WINDOW_SIZE: Controls graph construction qualityGRAPH_MAX_DEGREE: Maximum connections per nodeSEARCH_WINDOW_SIZE: Search beam widthEPSILON: Search accuracy vs speed tradeoffTRAINING_THRESHOLD: Minimum vectors needed for compression training