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content/en/docs/appstore/platform-supported-content/modules/aws/amazon-bedrock.md

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@@ -250,13 +250,13 @@ The input and output for this service are shown in the table below:
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| --- | --- |
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| `GenAICommons.Request`, `AmazonBedrockConnection`| `GenAICommons.Response`|
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The request object passed to this operation must include a [KnowledgeBaseTool](#knowledge-base-tool) object, which can be added to the request using the [Request: Add Knowledge Base Tool to Collection](#add-knowledge-base-tool) operation.
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The request object passed to this operation must include a KnowledgeBaseTool object, which can be added to the request using the [Request: Add Knowledge Base Tool to Collection](#add-knowledge-base-tool) operation.
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#### Chatting with History {#retrieve-and-generate-with-history}
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The `RetrieveAndGenerate` operation only allows a single user message to be part of the request. Unlike the `ChatCompletions` operation, it is not supported to send a history of messages to the model.
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The history can be enabled using the `SessionId` parameter on the [RetrieveAndGenerateRequest_Extension](#retrieve-and-generate-request-extension) entity. By reusing the same `SessionId` value, the model will run in the context of the session.
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The history can be enabled using the `SessionId` parameter on the RetrieveAndGenerateRequest_Extension entity. By reusing the same `SessionId` value, the model will run in the context of the session.
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#### Image Generation {#image-generation}
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#### Create Amazon Bedrock Connection {#create-amazon-bedrock-connection}
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Use this microflow to create a new [Amazon Bedrock Connection](#amazon-bedrock-connection) object.
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Use this microflow to create a new Amazon Bedrock Connection object.
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This operation corresponds to the **AmazonBedrockConnection_Create** microflow.
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| `ENUM_Region (enumeration)`, `UseStaticCredentials (Boolean)`, `ModelId (string)` | `AmazonBedrockConnection (object)`|
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#### Request: Add Knowledge Base Tool to Collection {#add-knowledge-base-tool}
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Use this microflow to add a new [KnowledgeBaseTool](#knowledge-base-tool) object to your request. This is useful for adding additional parameters when using the [Retrieve And Generate](#retrieve-and-generate) operation.
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Use this microflow to add a new KnowledgeBaseTool object to your request. This is useful for adding additional parameters when using the [Retrieve And Generate](#retrieve-and-generate) operation.
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This operation corresponds to the **RetrieveAndGenerateRequest_Extension_Create** microflow.
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#### Request: Add Retrieve And Generate Request Extension {#add-rag-extension}
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Use this microflow to add a new [RetrieveAndGenerateRequest_Extension](#retrieve-and-generate-request-extension) object to your request. This is required in order to use the [Retrieve And Generate](#retrieve-and-generate) operation successfully.
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Use this microflow to add a new RetrieveAndGenerateRequest_Extension object to your request. This is required in order to use the [Retrieve And Generate](#retrieve-and-generate) operation successfully.
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This operation corresponds to the **Request_AddKnowledgeBaseTool** microflow.
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This microflow was introduced in Amazon Bedrock Connector version 3.1.0.
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{{% /alert %}}
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Use this microflow to add a new [TitanImageOptions_Extension](#titan-image-options-extension) object to your GenAICommons.ImageOptions object. This will allow you to configure the **NegativeText** attribute.
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Use this microflow to add a new TitanImageOptions_Extension object to your GenAICommons.ImageOptions object. This will allow you to configure the **NegativeText** attribute.
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This operation corresponds to the **TitanImageOptions_Extension_Create** microflow.
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#### Embeddings Options: Add Cohere Embed Extension {#add-cohere-embed-extension}
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Use this microflow to add a new [CohereEmbedOptions_Extension](#cohere-embed-options-extension) object to your `EmbeddingsOptions` object. You can use it to include parameters that are unique to Cohere Embed models.
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Use this microflow to add a new CohereEmbedOptions_Extension object to your `EmbeddingsOptions` object. You can use it to include parameters that are unique to Cohere Embed models.
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This operation corresponds to the **CohereEmbedOptions_Extension_Create** microflow.
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#### Embeddings Options: Add Titan Embeddings Extension {#add-titan-embeddings-extension}
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Use this microflow to add a new [TitanEmbeddingsOptions_Extension](#titan-embeddings-options-extension) object to your `EmbeddingsOptions` object. You can use it to include parameters that are unique to Titan Embeddings models.
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Use this microflow to add a new TitanEmbeddingsOptions_Extension object to your `EmbeddingsOptions` object. You can use it to include parameters that are unique to Titan Embeddings models.
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This operation corresponds to the **TitanEmbeddingsOptions_Extension_Create** microflow.
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#### Request: Add Retrieve Request Extension {#add-r-extension}
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Use this microflow to add a new [RetrieveRequest_Extension](#retrieve-request-extension) object to your request. This is required in order to use the [Retrieve](#retrieve) activity. It requires `Connection`, and `RetrieveRequest` as input parameters.
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Use this microflow to add a new RetrieveRequest_Extension object to your request. This is required in order to use the [Retrieve](#retrieve) activity. It requires `Connection`, and `RetrieveRequest` as input parameters.
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To use this activity, you must set up a knowledge base in your Amazon Bedrock Environment. For more information, see [Knowledge Base](#knowledge-base).
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| --- | --- |
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| `GenAICommons.Request (object)`, `FieldName (string)`| `none` |
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If the used model supports that response field, it will be returned as a [ChatCompletionsResponse](#chatcompletions-response) object as part of the response.
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If the used model supports that response field, it will be returned as a ChatCompletionsResponse object as part of the response.
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#### Response: Get Requested Response Fields {#get-response-fields}
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To solve this issue, verify the following:
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1. Ensure that you have selected an AWS Region where the targeted model exists. You can see an overview of the models accessible to you in the AWS Management Console, on the [Overview page](https://us-west-2.console.aws.amazon.com/bedrock/home?#/overview) of your Amazon Bedrock environment. Make sure the region specified in the AWS Console matches the region you have configured in Mendix.
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2. Ensure that the model that you have selected is not deprecated and that the *model-id* is currently available in Amazon Bedrock.
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2. Ensure that the model that you have selected is not deprecated and that the *model-id* is currently available in Amazon Bedrock.

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