Set default similarity for Cohere model to cosine#125370
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jimczi merged 3 commits intoelastic:mainfrom Mar 21, 2025
Merged
Set default similarity for Cohere model to cosine#125370jimczi merged 3 commits intoelastic:mainfrom
jimczi merged 3 commits intoelastic:mainfrom
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Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes elastic#122878
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Pinging @elastic/ml-core (Team:ML) |
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Hi @jimczi, I've created a changelog YAML for you. |
davidkyle
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Mar 21, 2025
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LGTM
There is a concern the a user might delete an Cohere inference endpoint with default similarity dot_product then recreate it but this time the similarity has defaulted to cosine. If that inference endpoint is used in semantic_text then this could cause suboptimal relevance.
This problem is described in #124272, that work should now be prioritised
Contributor
Author
We check the model configuration on every index request so this will result in an error. For users that deleted their endpoint and re-create it, they will need to override the similarity explicitly to match the old one. Since the user forced the deletion, I am not particularly concerned by this regression. WDYT? |
Member
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I see no reason not to merge this PR. It would be a better user experience to have the check performed up front and I will follow up on that |
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jimczi
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Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes elastic#122878
jimczi
added a commit
to jimczi/elasticsearch
that referenced
this pull request
Mar 21, 2025
Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes elastic#122878
smalyshev
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that referenced
this pull request
Mar 21, 2025
Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes elastic#122878
elasticsearchmachine
pushed a commit
that referenced
this pull request
Mar 21, 2025
Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes #122878
elasticsearchmachine
pushed a commit
that referenced
this pull request
Mar 21, 2025
Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes #122878
elasticsearchmachine
pushed a commit
that referenced
this pull request
Mar 21, 2025
Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes #122878
omricohenn
pushed a commit
to omricohenn/elasticsearch
that referenced
this pull request
Mar 28, 2025
Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues,
our check ({@link DenseVectorFieldMapper#isNotUnitVector(float)}) often fails.
This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes elastic#122878
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Cohere embeddings are expected to be normalized to unit vectors, but due to floating point precision issues, our check (DenseVectorFieldMapper#isNotUnitVector) often fails. This change fixes this bug by setting the default similarity for newly created Cohere inference endpoint to cosine.
Closes #122878