[DiskBBQ] Quantize centroids using 7 bits instead of 4 bits #132261
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* upstream/main: (822 commits) Improve Semantic Text Exists Query Tests (elastic#132283) Make hierarchical k-means over centroids cheaper (elastic#132316) Remove unnecessary listener.delegateFailure in IndexShard#ensureMutable (elastic#132294) Add missing release note (elastic#132319) Unmute elastic#131803 (elastic#132295) Include bytes for live docs in ShardFieldStats (elastic#132232) Fix default missing index sort value of data_nanos pre 7.14 (elastic#132162) [DiskBBQ] Quantize centroids using 7 bits instead of 4 bits (elastic#132261) Use panamized version for windows in Int7VectorScorer (elastic#132311) Mute org.elasticsearch.xpack.ml.integration.AutodetectMemoryLimitIT testTooManyByAndOverFields elastic#132310 Mute org.elasticsearch.xpack.ml.integration.AutodetectMemoryLimitIT testManyDistinctOverFields elastic#132308 Update 8.17 version to 8.17.10 (elastic#132303) Mute org.elasticsearch.datastreams.DataStreamsClientYamlTestSuiteIT test {p0=data_stream/10_basic/Create hidden data stream with match all template} elastic#132298 Add random queries to logsdb data generation tests (elastic#132109) ES|QL Inference runner refactoring (elastic#131986) Add basic example to linear-retriever.md (elastic#132196) Refactor RemoteClusterService to be multi-project aware (elastic#131894) ESQL: Mark csv-spec tests (elastic#132098) Mute org.elasticsearch.common.logging.JULBridgeTests testThrowable elastic#132280 Bump versions after 8.19.0 release ...
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We have introduced a Int7 vectors scorer that shows it is faster that the int4 scorer in the microbenchmarks benchmarks. In addition it should provide more accurate results. The only trade off is that it requires two more bytes per vector so it will increase slightly the serialization size.
All in all, it is a better trade off so let's move our quantization strategy for centroids from int 4 to int 7.