AzureOpenAIDocumentEmbedder Parameters

Check the init and rumtime parameters you can pass for AzureOpenAIDocumentEmbedder.

YAML Init Parameters

These are the parameters you can specify in pipeline YAML:

Parameter	Type	Possible Values	Description
`undo_scale_score`	Boolean	`True` `False` Default: `False`	Unscales the scores assigned by EmbeddingRetriever or Ranker using the logit function. Mandatory.
`scale_score`	Boolean	`True` `False` Default: `True`	Rescales the scores using the sigmoid function. Mandatory.
`midpoint`	Float	Default: `0.0`	Specifies the midpoint value for scaling score. The midpoint value is the value mapped to 50%. Used if `scale_score=True`. Mandatory.
`spread_factor`	Float	Default: `1.0`	If `scale_score=True`, pushes scores closer or farther away from 50%. A higher spread factor results in scores closer to 0% or 100%. A lower spread factor results in scores closer to 50%. This value must be greater than 0. Mandatory.
`top_spread_factor`	Float	Default: `None`	If `scale_score=True`, pushes scores that are above `midpoint` closer or farther away from 100%. A higher top spread factor results in scores closer to 100%, while a lower top spread factor results in scores closer to 50%. This value must be greater than 0. `top_spread_factor` takes precedence over `spread_factor` if both are specified. Optional.
`bottom_spread_factor`	Float	Default: `None`	If `scale_score=True`, pushes scores that are below `midpoint` closer or farther away from 0%. A higher `bottom_spread_factor` results in scores closer to 0%. A lower `bottom_spread_factor` results in scores closer to 50%. This value must be greater than 0. `bottom_spread_factor` takes precedence over `spread_factor` if both are specified. Optional.
`threshold`	Float	Default: `None`	Sets a threshold for document score. If set, only documents above this threshold (after all adjustments) are returned. Optional.

REST API Runtime Parameters

These are the runtime parameters you can pass in the body of the request to the Search endpoint:

Parameter	Type	Possible Values	Description
`undo_scale_score`	Boolean	`True` `False` Default: `False`	Unscales the scores assigned by EmbeddingRetriever or Ranker using the logit function. Mandatory.
`scale_score`	Boolean	`True` `False` Default: `True`	Rescales the scores using the sigmoid function. Mandatory.
`midpoint`	Float	Default: `0.0`	Specifies the midpoint value for scaling score. The midpoint value is the value mapped to 50%. Used if `scale_score=True`. Mandatory.
`spread_factor`	Float	Default: `1.0`	If `scale_score=True`, pushes scores closer or farther away from 50%. A higher spread factor results in scores closer to 0% or 100%. A lower spread factor results in scores closer to 50%. This value must be greater than 0. Mandatory.
`top_spread_factor`	Float	Default: `None`	If `scale_score=True`, pushes scores that are above `midpoint` closer or farther away from 100%. A higher top spread factor results in scores closer to 100%, while a lower top spread factor results in scores closer to 50%. This value must be greater than 0. `top_spread_factor` takes precedence over `spread_factor` if both are specified. Optional.
`bottom_spread_factor`	Float	Default: `None`	If `scale_score=True`, pushes scores that are below `midpoint` closer or farther away from 0%. A higher `bottom_spread_factor` results in scores closer to 0%. A lower `bottom_spread_factor` results in scores closer to 50%. This value must be greater than 0. `bottom_spread_factor` takes precedence over `spread_factor` if both are specified. Optional.
`threshold`	Float	Default: `None`	Sets a threshold for document score. If set, only documents above this threshold (after all adjustments) are returned. Optional.