Class: Aws::Kendra::Types::CreateIndexRequest

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-kendra/types.rb

Overview

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#client_tokenString

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.

**A suitable default value is auto-generated.** You should normally not need to pass this option.

Returns:

  • (String)


2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#descriptionString

A description for the index.

Returns:

  • (String)


2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#editionString

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].

[1]: docs.aws.amazon.com/kendra/latest/dg/quotas.html

Returns:

  • (String)


2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#nameString

A name for the index.

Returns:

  • (String)


2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#role_arnString

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].

[1]: docs.aws.amazon.com/kendra/latest/dg/iam-roles.html

Returns:

  • (String)


2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#server_side_encryption_configurationTypes::ServerSideEncryptionConfiguration

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



2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#tagsArray<Types::Tag>

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: _ . : / = + - @.

Returns:



2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#user_context_policyString

The user context policy.

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.

Returns:

  • (String)


2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#user_group_resolution_configurationTypes::UserGroupResolutionConfiguration

Gets users and groups from 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.

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

[1]: docs.aws.amazon.com/kendra/latest/dg/API_UserGroupResolutionConfiguration.html



2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end

#user_token_configurationsArray<Types::UserTokenConfiguration>

The user token configuration.

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.

Returns:



2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
# File 'lib/aws-sdk-kendra/types.rb', line 2460

class CreateIndexRequest < Struct.new(
  :name,
  :edition,
  :role_arn,
  :server_side_encryption_configuration,
  :description,
  :client_token,
  :tags,
  :user_token_configurations,
  :user_context_policy,
  :user_group_resolution_configuration)
  SENSITIVE = []
  include Aws::Structure
end