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Removes one or more documents from an index. The documents must have been added with the BatchPutDocument operation.

The documents are deleted asynchronously. You can see the progress of the deletion by using Amazon Web Services CloudWatch. Any error messages related to the processing of the batch are sent to you CloudWatch log.

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Returns the indexing status for one or more documents submitted with the BatchPutDocument operation.

When you use the BatchPutDocument operation, documents are indexed asynchronously. You can use the BatchGetDocumentStatus operation to get the current status of a list of documents so that you can determine if they have been successfully indexed.

You can also use the BatchGetDocumentStatus operation to check the status of the BatchDeleteDocument operation. When a document is deleted from the index, Amazon Kendra returns NOT_FOUND as the status.

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Adds one or more documents to an index.

The BatchPutDocument operation enables you to ingest inline documents or a set of documents stored in an Amazon S3 bucket. Use this operation to ingest your text and unstructured text into an index, add custom attributes to the documents, and to attach an access control list to the documents added to the index.

The documents are indexed asynchronously. You can see the progress of the batch using Amazon Web Services CloudWatch. Any error messages related to processing the batch are sent to your Amazon Web Services CloudWatch log.

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Clears existing query suggestions from an index.

This deletes existing suggestions only, not the queries in the query log. After you clear suggestions, Amazon Kendra learns new suggestions based on new queries added to the query log from the time you cleared suggestions. If you do not see any new suggestions, then please allow Amazon Kendra to collect enough queries to learn new suggestions.

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Creates a data source that you use to with an Amazon Kendra index.

You specify a name, data source connector type and description for your data source. You also specify configuration information such as document metadata (author, source URI, and so on) and user context information.

CreateDataSource is a synchronous operation. The operation returns 200 if the data source was successfully created. Otherwise, an exception is raised.

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"", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "94ff95a8-bf26-4965-a029-ed30f644c8fc", "body": "\"\"", "latency": 0, "statusCode": 484, "label": "ServiceQuotaExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "1d1e6474-dd00-4d7b-9f75-8cbe717f3e3b", "body": "\"\"", "latency": 0, "statusCode": 485, "label": "ThrottlingException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "67af88b9-5637-497e-802b-c7351948c242", "body": "\"\"", "latency": 0, "statusCode": 486, "label": "AccessDeniedException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "dc634b9c-780a-4fe6-b2f5-7bfbd217d80f", "body": "\"\"", "latency": 0, "statusCode": 487, "label": "InternalServerException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" } ], "enabled": true, "responseMode": null, "type": "http" }, { "uuid": "ebc7a72c-2b43-4fa2-b1c2-4e82029a806e", "documentation": "Creates an new set of frequently asked question 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"filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "5dc60a3f-9769-42f5-8e77-e6d131e30c9c", "body": "\"\"", "latency": 0, "statusCode": 484, "label": "ServiceQuotaExceededException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, "crudKey": "id" }, { "uuid": "2852868f-c543-4bb0-b8ab-18d869081132", "body": "\"\"", "latency": 0, "statusCode": 485, "label": "AccessDeniedException", "headers": [{ "key": "Content-Type", "value": "application/json" }], "bodyType": "INLINE", "filePath": "", "databucketID": "", "sendFileAsBody": false, "rules": [], "rulesOperator": "OR", "disableTemplating": false, "fallbackTo404": false, "default": false, 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Creates a new Amazon Kendra index. Index creation is an asynchronous operation. To determine if index creation has completed, check the Status field returned from a call to DescribeIndex. The Status field is set to ACTIVE when the index is ready to use.

Once the index is active you can index your documents using the BatchPutDocument operation or using one of the supported data sources.

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Creates a block list to exlcude certain queries from suggestions.

Any query that contains words or phrases specified in the block list is blocked or filtered out from being shown as a suggestion.

You need to provide the file location of your block list text file in your S3 bucket. In your text file, enter each block word or phrase on a separate line.

For information on the current quota limits for block lists, see Quotas for Amazon Kendra.

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Deletes a group so that all users and sub groups that belong to the group can no longer access documents only available to that group.

For example, after deleting the group \"Summer Interns\", all interns who belonged to that group no longer see intern-only documents in their search results.

If you want to delete or replace users or sub groups of a group, you need to use the PutPrincipalMapping operation. For example, if a user in the group \"Engineering\" leaves the engineering team and another user takes their place, you provide an updated list of users or sub groups that belong to the \"Engineering\" group when calling PutPrincipalMapping. You can update your internal list of users or sub groups and input this list when calling PutPrincipalMapping.

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Deletes a block list used for query suggestions for an index.

A deleted block list might not take effect right away. Amazon Kendra needs to refresh the entire suggestions list to add back the queries that were previously blocked.

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Describes a block list used for query suggestions for an index.

This is used to check the current settings that are applied to a block list.

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Describes the settings of query suggestions for an index.

This is used to check the current settings applied to query suggestions.

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Lists the block lists used for query suggestions for an index.

For information on the current quota limits for block lists, see Quotas for Amazon Kendra.

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Maps users to their groups. You can also map sub groups to groups. For example, the group \"Company Intellectual Property Teams\" includes sub groups \"Research\" and \"Engineering\". These sub groups include their own list of users or people who work in these teams. Only users who work in research and engineering, and therefore belong in the intellectual property group, can see top-secret company documents in their search results.

You map users to their groups when you want to filter search results for different users based on their group’s access to documents. For more information on filtering search results for different users, see Filtering on user context.

If more than five PUT actions for a group are currently processing, a validation exception is thrown.

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Searches an active index. Use this API to search your documents using query. The Query operation enables to do faceted search and to filter results based on document attributes.

It also enables you to provide user context that Amazon Kendra uses to enforce document access control in the search results.

Amazon Kendra searches your index for text content and question and answer (FAQ) content. By default the response contains three types of results.

You can specify that the query return only one type of result using the QueryResultTypeConfig parameter.

Each query returns the 100 most relevant results.

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Updates a block list used for query suggestions for an index.

Updates to a block list might not take effect right away. Amazon Kendra needs to refresh the entire suggestions list to apply any updates to the block list. Other changes not related to the block list apply immediately.

If a block list is updating, then you need to wait for the first update to finish before submitting another update.

Amazon Kendra supports partial updates, so you only need to provide the fields you want to update.

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Updates the settings of query suggestions for an index.

Amazon Kendra supports partial updates, so you only need to provide the fields you want to update.

If an update is currently processing (i.e. 'happening'), you need to wait for the update to finish before making another update.

Updates to query suggestions settings might not take effect right away. The time for your updated settings to take effect depends on the updates made and the number of search queries in your index.

You can still enable/disable query suggestions at any time.

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