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* feat(search): add SVS-VAMANA vector index algorithm support - Add VAMANA algorithm with compression and tuning parameters - Include comprehensive test coverage for various configurations - Fix parameter validation to handle falsy values correctly * feat(search): add additional VAMANA compression algorithms - Add LVQ4, LVQ4x4, LVQ4x8, LeanVec4x8, and LeanVec8x8 compression options - Update test to use LeanVec4x8 compression algorithm * chore: update Redis version from 8.2-rc1 to 8.2-rc2-pre
@redis/bloom
This package provides support for the RedisBloom module, which adds additional probabilistic data structures to Redis.
Should be used with redis/@redis/client.
⚠️ To use these extra commands, your Redis server must have the RedisBloom module installed.
RedisBloom provides the following probabilistic data structures:
- Bloom Filter: for checking set membership with a high degree of certainty.
- Cuckoo Filter: for checking set membership with a high degree of certainty.
- T-Digest: for estimating the quantiles of a stream of data.
- Top-K: Maintain a list of k most frequently seen items.
- Count-Min Sketch: Determine the frequency of events in a stream.
For some examples, see bloom-filter.js, cuckoo-filter.js, count-min-sketch.js and topk.js in the examples folder.