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Copy file name to clipboardExpand all lines: content/en/docs/appstore/use-content/platform-supported-content/modules/aws/amazon-bedrock.md
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@@ -602,21 +602,21 @@ Currently, there are operations available to sync metadata about:
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The syncing process works the same for all of these operations.
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1. The information about models / knowledge bases / agents is persistent in the mendix app's database on the initial sync.
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2. An association to the `AmazonBedrockRegion` object, that represents the AWS region used when syncing, is stored.
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2. An association to the `AmazonBedrockRegion` object, that represents the AWS region used when syncing, is stored (this is only the case for knowledge bases and agents).
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3. On a subsequent syncing process the available data is extended and updated. No data will be removed from the app's database - even if it is no longer available on AWS. The reason is that existing usages of the object in the running application should not be removed.
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The available operations are described in the following sections.
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#### Sync Models {#sync-models}
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The `Sync Models` activity allows you to retrieve and store metadata about available models on Amazon Bedrock in your app's database.
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The model information is persistent in the `AmazonBedrockModel` entity.
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The model information is persistent in the `BedrockDeployedModel` entity.
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Information about the models output and input modalities are stored as associations to the `ModelModality` entity.
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Information about the model's input modalities are stored as associations to the `InputModality` entity and its output modality is stored to the `OutputModality` attribute.
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The input modality describes which form of data can be sent to the model.
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The output modality describes which form of data the model will return.
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Information about the models inference type is stored as association to the `ModelInferenceType` entity.
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Information about the model's inference type is stored as association to the `ModelInferenceType` entity.
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The inference type describes how the model can be accessed. *ON Demand* models are accessible by default and charged by usage.
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The input and output for this service are shown in the table below:
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