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# ModelSequenceOverlap

The length (in tokens) that text used to generate successive embeddings must overlap by.

When the input text is longer than the maximum chunk size for your model (see ModelMaxSequenceLength), Knowledge Discovery splits the text into chunks and generates multiple embeddings. Use `ModelSequenceOverlap` to specify an overlap to use to generate these embeddings.

This value must be non-negative and less than the value for ModelMaxSequenceLength.

This parameter has an effect only when Type is set to `Transformer`.

Type: | Integer
Default: | 0
Required: | No
Configuration Section: | MyEmbedding
Example: | `ModelSequenceOverlap=40`
See Also: | ModelMaxSequenceLength ModelMinimumFinalSequenceLength

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Version 25.4 | Last updated October 2025

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Product: Knowledge Discovery Answer Server 25.4

Topic Title: ModelSequenceOverlap