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feat(community): Update Voyage embeddings parameters #7689
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Additionally, the class supports new parameters for further customization of the embedding process: - **truncation**: Whether to truncate the input texts to the maximum length allowed by the model. - **outputDimension**: The desired dimension of the output embeddings. - **outputDtype**: The data type of the output embeddings. Can be `"float"` or `"int8"`. - **encodingFormat**: The format of the output embeddings. Can be `"float"`, `"base64"`, or `"ubinary"`.
Additionally, the class supports new parameters for further customization of the embedding process: - **truncation**: Whether to truncate the input texts to the maximum length allowed by the model. - **outputDimension**: The desired dimension of the output embeddings. - **outputDtype**: The data type of the output embeddings. Can be `"float"` or `"int8"`. - **encodingFormat**: The format of the output embeddings. Can be `"float"`, `"base64"`, or `"ubinary"`.
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Hello, PurposeThis PR adds support for new Voyage AI embedding parameters ( Observed CI Issues
Code Fixes Included
I guess it's the case for all tests. |
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Thank you!
I can run |
Fixes # (issue)