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docs/reference/elasticsearch/rest-apis/retrievers.md

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@@ -296,10 +296,14 @@ Each entry in the `retrievers` array specifies the following parameters:
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* `none`
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* `minmax` : A `MinMaxScoreNormalizer` that normalizes scores based on the following formula
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```
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score = (score - min) / (max - min)
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```
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* `l2_norm` : An `L2ScoreNormalizer` that normalizes scores using the L2 norm of the score values.
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See also [this hybrid search example](docs-content://solutions/search/retrievers-examples.md#retrievers-examples-linear-retriever) using a linear retriever on how to independently configure and apply normalizers to retrievers.
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`rank_window_size`
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: (Optional, integer)

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