From 00c7837c1ead196fc8cd7fbe9a5488ed75a97c24 Mon Sep 17 00:00:00 2001 From: Mike Pellegrini Date: Fri, 7 Mar 2025 14:13:16 -0500 Subject: [PATCH] Don't use dot product similarity in SemanticInferenceMetadataFieldsRecoveryTests (#124364) --- .../mapper/SemanticInferenceMetadataFieldsRecoveryTests.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/x-pack/plugin/inference/src/test/java/org/elasticsearch/xpack/inference/mapper/SemanticInferenceMetadataFieldsRecoveryTests.java b/x-pack/plugin/inference/src/test/java/org/elasticsearch/xpack/inference/mapper/SemanticInferenceMetadataFieldsRecoveryTests.java index 8bf824fb2ed59..d1fbf110dad8c 100644 --- a/x-pack/plugin/inference/src/test/java/org/elasticsearch/xpack/inference/mapper/SemanticInferenceMetadataFieldsRecoveryTests.java +++ b/x-pack/plugin/inference/src/test/java/org/elasticsearch/xpack/inference/mapper/SemanticInferenceMetadataFieldsRecoveryTests.java @@ -221,7 +221,7 @@ private Translog.Snapshot newRandomSnapshot( private static Model randomModel(TaskType taskType) { var dimensions = taskType == TaskType.TEXT_EMBEDDING ? randomIntBetween(2, 64) : null; var similarity = taskType == TaskType.TEXT_EMBEDDING - ? randomValueOtherThan(SimilarityMeasure.COSINE, () -> randomFrom(SimilarityMeasure.values())) + ? randomValueOtherThan(SimilarityMeasure.DOT_PRODUCT, () -> randomFrom(SimilarityMeasure.values())) : null; var elementType = taskType == TaskType.TEXT_EMBEDDING ? DenseVectorFieldMapper.ElementType.BYTE : null; return new TestModel(