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Uncollapse provider detail tables (#1230)
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modules/ROOT/pages/genai-integrations.adoc

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@@ -223,9 +223,6 @@ Each provider has its own configuration map that can be passed to `genai.vector.
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* Identifier (`provider` argument): `"VertexAI"`
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* https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings[Official Vertex AI documentation]
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.Vertex AI provider details
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[%collapsible]
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====
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.Configuration map
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[%header,cols="1m,1m,3a,2"]
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|===
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| The title of the document that is being encoded (see link:https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#api_changes_to_models_released_on_or_after_august_2023[provider documentation]). The specified `title` will apply to all resources in a batch. label:new[Introduced in 5.19]
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|
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|===
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====
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[[openai]]
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=== OpenAI
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* Identifier (`provider` argument): `"OpenAI"`
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* https://platform.openai.com/docs/guides/embeddings[Official OpenAI documentation]
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.OpenAI provider details
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[%collapsible]
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====
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.Configuration map
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[%header,cols="1m,1m,3a,2"]
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|===
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| The number of dimensions you want to reduce the vector to. Only supported for certain models.
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| Model-dependent.
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|===
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====
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[[azure-openai]]
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[role=label--new-5.18]
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[NOTE]
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Unlike the other providers, the model is configured when creating the deployment on Azure, and is thus not part of the configuration map.
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.Azure OpenAI provider details
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[%collapsible]
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====
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.Configuration map
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[%header,cols="1m,1m,3a,2"]
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|===
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| The number of dimensions you want to reduce the vector to. Only supported for certain models.
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| Model-dependent.
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|===
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====
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[[amazon-bedrock]]
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=== Amazon Bedrock
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* Identifier (`provider` argument): `"Bedrock"`
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* https://docs.aws.amazon.com/bedrock/latest/APIReference/welcome.html[Official Bedrock documentation]
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.Amazon Bedrock provider details
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[%collapsible]
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.Configuration map
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[%header,cols="1m,1m,3a,2"]
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|===
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| `"us-east-1"`
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|===
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====
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