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docs/reference/inference/service-elasticsearch.asciidoc

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@@ -153,7 +153,7 @@ For further details, refer to the {ml-docs}/ml-nlp-elser.html[ELSER model docume
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[[inference-example-elastic-reranker]]
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==== Elastic Rerank via the `elasticsearch` service
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The following example shows how to create an {infer} endpoint called `my-elastic-rerank` to perform a `rerank` task type using the built-in cross-encoder model.
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The following example shows how to create an {infer} endpoint called `my-elastic-rerank` to perform a `rerank` task type using the built-in {ml-docs}/ml-nlp-rerank.html[Elastic Rerank] cross-encoder model.
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The API request below will automatically download the Elastic Rerank model if it isn't already downloaded and then deploy the model.
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Once deployed, the model can be used for semantic re-ranking with a <<text-similarity-reranker-retriever-example-elastic-rerank,`text_similarity_reranker` retriever>>.

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