CreateIndex - Amazon Kendra API Reference

CreateIndex

Creates an Amazon Kendra index. Index creation is an asynchronous API. 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 API or using one of the supported data sources.

For an example of creating an index and data source using the Python SDK, see Getting started with Python SDK. For an example of creating an index and data source using the Java SDK, see Getting started with Java SDK.

Request Syntax

{ "ClientToken": "string", "Description": "string", "Edition": "string", "Name": "string", "RoleArn": "string", "ServerSideEncryptionConfiguration": { "KmsKeyId": "string" }, "Tags": [ { "Key": "string", "Value": "string" } ], "UserContextPolicy": "string", "UserGroupResolutionConfiguration": { "UserGroupResolutionMode": "string" }, "UserTokenConfigurations": [ { "JsonTokenTypeConfiguration": { "GroupAttributeField": "string", "UserNameAttributeField": "string" }, "JwtTokenTypeConfiguration": { "ClaimRegex": "string", "GroupAttributeField": "string", "Issuer": "string", "KeyLocation": "string", "SecretManagerArn": "string", "URL": "string", "UserNameAttributeField": "string" } } ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

ClientToken

A token that you provide to identify the request to create an index. Multiple calls to the CreateIndex API with the same client token will create only one index.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 100.

Required: No

Description

A description for the index.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 1000.

Pattern: ^\P{C}*$

Required: No

Edition

The Amazon Kendra edition to use for the index. Choose DEVELOPER_EDITION for indexes intended for development, testing, or proof of concept. Use ENTERPRISE_EDITION for production. Use GEN_AI_ENTERPRISE_EDITION for creating generative AI applications. Once you set the edition for an index, it can't be changed.

The Edition parameter is optional. If you don't supply a value, the default is ENTERPRISE_EDITION.

For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see Quotas.

Type: String

Valid Values: DEVELOPER_EDITION | ENTERPRISE_EDITION | GEN_AI_ENTERPRISE_EDITION

Required: No

Name

A name for the index.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 1000.

Pattern: [a-zA-Z0-9][a-zA-Z0-9_-]*

Required: Yes

RoleArn

The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see IAM access roles for Amazon Kendra.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 1284.

Pattern: arn:[a-z0-9-\.]{1,63}:[a-z0-9-\.]{0,63}:[a-z0-9-\.]{0,63}:[a-z0-9-\.]{0,63}:[^/].{0,1023}

Required: Yes

ServerSideEncryptionConfiguration

The identifier of the AWS KMS customer managed key (CMK) that's used to encrypt data indexed by Amazon Kendra. Amazon Kendra doesn't support asymmetric CMKs.

Type: ServerSideEncryptionConfiguration object

Required: No

Tags

A list of key-value pairs that identify or categorize the index. You can also use tags to help control access to the index. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 200 items.

Required: No

UserContextPolicy

The user context policy.

Important

If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use ATTRIBUTE_FILTER to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use USER_TOKEN to configure user context policy, Amazon Kendra returns a ValidationException error.

ATTRIBUTE_FILTER

All indexed content is searchable and displayable for all users. If you want to filter search results on user context, you can use the attribute filters of _user_id and _group_ids or you can provide user and group information in UserContext.

USER_TOKEN

Enables token-based user access control to filter search results on user context. All documents with no access control and all documents accessible to the user will be searchable and displayable.

Type: String

Valid Values: ATTRIBUTE_FILTER | USER_TOKEN

Required: No

UserGroupResolutionConfiguration

Gets users and groups from AWS IAM Identity Center identity source. To configure this, see UserGroupResolutionConfiguration. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.

Important

If you're using an Amazon Kendra Gen AI Enterprise Edition index, UserGroupResolutionConfiguration isn't supported.

Type: UserGroupResolutionConfiguration object

Required: No

UserTokenConfigurations

The user token configuration.

Important

If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use UserTokenConfigurations to configure user context policy, Amazon Kendra returns a ValidationException error.

Type: Array of UserTokenConfiguration objects

Array Members: Maximum number of 1 item.

Required: No

Response Syntax

{ "Id": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

Id

The identifier of the index. Use this identifier when you query an index, set up a data source, or index a document.

Type: String

Length Constraints: Fixed length of 36.

Pattern: [a-zA-Z0-9][a-zA-Z0-9-]*

Errors

For information about the errors that are common to all actions, see Common Errors.

AccessDeniedException

You don't have sufficient access to perform this action. Please ensure you have the required permission policies and user accounts and try again.

HTTP Status Code: 400

ConflictException

A conflict occurred with the request. Please fix any inconsistences with your resources and try again.

HTTP Status Code: 400

InternalServerException

An issue occurred with the internal server used for your Amazon Kendra service. Please wait a few minutes and try again, or contact Support for help.

HTTP Status Code: 500

ResourceAlreadyExistException

The resource you want to use already exists. Please check you have provided the correct resource and try again.

HTTP Status Code: 400

ServiceQuotaExceededException

You have exceeded the set limits for your Amazon Kendra service. Please see Quotas for more information, or contact Support to inquire about an increase of limits.

HTTP Status Code: 400

ThrottlingException

The request was denied due to request throttling. Please reduce the number of requests and try again.

HTTP Status Code: 400

ValidationException

The input fails to satisfy the constraints set by the Amazon Kendra service. Please provide the correct input and try again.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: