aws-sdk-kendra 1.104.0

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct CreateIndexInput {
    /// <p>A name for the index.</p>
    pub name: ::std::option::Option<::std::string::String>,
    /// <p>The Amazon Kendra edition to use for the index. Choose <code>DEVELOPER_EDITION</code> for indexes intended for development, testing, or proof of concept. Use <code>ENTERPRISE_EDITION</code> for production. Use <code>GEN_AI_ENTERPRISE_EDITION</code> for creating generative AI applications. Once you set the edition for an index, it can't be changed.</p>
    /// <p>The <code>Edition</code> parameter is optional. If you don't supply a value, the default is <code>ENTERPRISE_EDITION</code>.</p>
    /// <p>For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/quotas.html">Quotas</a>.</p>
    pub edition: ::std::option::Option<crate::types::IndexEdition>,
    /// <p>The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html">IAM access roles for Amazon Kendra</a>.</p>
    pub role_arn: ::std::option::Option<::std::string::String>,
    /// <p>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.</p>
    pub server_side_encryption_configuration: ::std::option::Option<crate::types::ServerSideEncryptionConfiguration>,
    /// <p>A description for the index.</p>
    pub description: ::std::option::Option<::std::string::String>,
    /// <p>A token that you provide to identify the request to create an index. Multiple calls to the <code>CreateIndex</code> API with the same client token will create only one index.</p>
    pub client_token: ::std::option::Option<::std::string::String>,
    /// <p>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: _ . : / = + - @.</p>
    pub tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
    /// <p>The user token configuration.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>UserTokenConfigurations</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    pub user_token_configurations: ::std::option::Option<::std::vec::Vec<crate::types::UserTokenConfiguration>>,
    /// <p>The user context policy.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use <code>ATTRIBUTE_FILTER</code> to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>USER_TOKEN</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    /// <dl>
    /// <dt>
    /// ATTRIBUTE_FILTER
    /// </dt>
    /// <dd>
    /// <p>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 <code>_user_id</code> and <code>_group_ids</code> or you can provide user and group information in <code>UserContext</code>.</p>
    /// </dd>
    /// <dt>
    /// USER_TOKEN
    /// </dt>
    /// <dd>
    /// <p>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.</p>
    /// </dd>
    /// </dl>
    pub user_context_policy: ::std::option::Option<crate::types::UserContextPolicy>,
    /// <p>Gets users and groups from IAM Identity Center identity source. To configure this, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/API_UserGroupResolutionConfiguration.html">UserGroupResolutionConfiguration</a>. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, <code>UserGroupResolutionConfiguration</code> isn't supported.</p>
    /// </important>
    pub user_group_resolution_configuration: ::std::option::Option<crate::types::UserGroupResolutionConfiguration>,
}
impl CreateIndexInput {
    /// <p>A name for the index.</p>
    pub fn name(&self) -> ::std::option::Option<&str> {
        self.name.as_deref()
    }
    /// <p>The Amazon Kendra edition to use for the index. Choose <code>DEVELOPER_EDITION</code> for indexes intended for development, testing, or proof of concept. Use <code>ENTERPRISE_EDITION</code> for production. Use <code>GEN_AI_ENTERPRISE_EDITION</code> for creating generative AI applications. Once you set the edition for an index, it can't be changed.</p>
    /// <p>The <code>Edition</code> parameter is optional. If you don't supply a value, the default is <code>ENTERPRISE_EDITION</code>.</p>
    /// <p>For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/quotas.html">Quotas</a>.</p>
    pub fn edition(&self) -> ::std::option::Option<&crate::types::IndexEdition> {
        self.edition.as_ref()
    }
    /// <p>The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html">IAM access roles for Amazon Kendra</a>.</p>
    pub fn role_arn(&self) -> ::std::option::Option<&str> {
        self.role_arn.as_deref()
    }
    /// <p>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.</p>
    pub fn server_side_encryption_configuration(&self) -> ::std::option::Option<&crate::types::ServerSideEncryptionConfiguration> {
        self.server_side_encryption_configuration.as_ref()
    }
    /// <p>A description for the index.</p>
    pub fn description(&self) -> ::std::option::Option<&str> {
        self.description.as_deref()
    }
    /// <p>A token that you provide to identify the request to create an index. Multiple calls to the <code>CreateIndex</code> API with the same client token will create only one index.</p>
    pub fn client_token(&self) -> ::std::option::Option<&str> {
        self.client_token.as_deref()
    }
    /// <p>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: _ . : / = + - @.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.tags.is_none()`.
    pub fn tags(&self) -> &[crate::types::Tag] {
        self.tags.as_deref().unwrap_or_default()
    }
    /// <p>The user token configuration.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>UserTokenConfigurations</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.user_token_configurations.is_none()`.
    pub fn user_token_configurations(&self) -> &[crate::types::UserTokenConfiguration] {
        self.user_token_configurations.as_deref().unwrap_or_default()
    }
    /// <p>The user context policy.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use <code>ATTRIBUTE_FILTER</code> to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>USER_TOKEN</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    /// <dl>
    /// <dt>
    /// ATTRIBUTE_FILTER
    /// </dt>
    /// <dd>
    /// <p>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 <code>_user_id</code> and <code>_group_ids</code> or you can provide user and group information in <code>UserContext</code>.</p>
    /// </dd>
    /// <dt>
    /// USER_TOKEN
    /// </dt>
    /// <dd>
    /// <p>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.</p>
    /// </dd>
    /// </dl>
    pub fn user_context_policy(&self) -> ::std::option::Option<&crate::types::UserContextPolicy> {
        self.user_context_policy.as_ref()
    }
    /// <p>Gets users and groups from IAM Identity Center identity source. To configure this, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/API_UserGroupResolutionConfiguration.html">UserGroupResolutionConfiguration</a>. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, <code>UserGroupResolutionConfiguration</code> isn't supported.</p>
    /// </important>
    pub fn user_group_resolution_configuration(&self) -> ::std::option::Option<&crate::types::UserGroupResolutionConfiguration> {
        self.user_group_resolution_configuration.as_ref()
    }
}
impl CreateIndexInput {
    /// Creates a new builder-style object to manufacture [`CreateIndexInput`](crate::operation::create_index::CreateIndexInput).
    pub fn builder() -> crate::operation::create_index::builders::CreateIndexInputBuilder {
        crate::operation::create_index::builders::CreateIndexInputBuilder::default()
    }
}

/// A builder for [`CreateIndexInput`](crate::operation::create_index::CreateIndexInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct CreateIndexInputBuilder {
    pub(crate) name: ::std::option::Option<::std::string::String>,
    pub(crate) edition: ::std::option::Option<crate::types::IndexEdition>,
    pub(crate) role_arn: ::std::option::Option<::std::string::String>,
    pub(crate) server_side_encryption_configuration: ::std::option::Option<crate::types::ServerSideEncryptionConfiguration>,
    pub(crate) description: ::std::option::Option<::std::string::String>,
    pub(crate) client_token: ::std::option::Option<::std::string::String>,
    pub(crate) tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
    pub(crate) user_token_configurations: ::std::option::Option<::std::vec::Vec<crate::types::UserTokenConfiguration>>,
    pub(crate) user_context_policy: ::std::option::Option<crate::types::UserContextPolicy>,
    pub(crate) user_group_resolution_configuration: ::std::option::Option<crate::types::UserGroupResolutionConfiguration>,
}
impl CreateIndexInputBuilder {
    /// <p>A name for the index.</p>
    /// This field is required.
    pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.name = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>A name for the index.</p>
    pub fn set_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.name = input;
        self
    }
    /// <p>A name for the index.</p>
    pub fn get_name(&self) -> &::std::option::Option<::std::string::String> {
        &self.name
    }
    /// <p>The Amazon Kendra edition to use for the index. Choose <code>DEVELOPER_EDITION</code> for indexes intended for development, testing, or proof of concept. Use <code>ENTERPRISE_EDITION</code> for production. Use <code>GEN_AI_ENTERPRISE_EDITION</code> for creating generative AI applications. Once you set the edition for an index, it can't be changed.</p>
    /// <p>The <code>Edition</code> parameter is optional. If you don't supply a value, the default is <code>ENTERPRISE_EDITION</code>.</p>
    /// <p>For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/quotas.html">Quotas</a>.</p>
    pub fn edition(mut self, input: crate::types::IndexEdition) -> Self {
        self.edition = ::std::option::Option::Some(input);
        self
    }
    /// <p>The Amazon Kendra edition to use for the index. Choose <code>DEVELOPER_EDITION</code> for indexes intended for development, testing, or proof of concept. Use <code>ENTERPRISE_EDITION</code> for production. Use <code>GEN_AI_ENTERPRISE_EDITION</code> for creating generative AI applications. Once you set the edition for an index, it can't be changed.</p>
    /// <p>The <code>Edition</code> parameter is optional. If you don't supply a value, the default is <code>ENTERPRISE_EDITION</code>.</p>
    /// <p>For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/quotas.html">Quotas</a>.</p>
    pub fn set_edition(mut self, input: ::std::option::Option<crate::types::IndexEdition>) -> Self {
        self.edition = input;
        self
    }
    /// <p>The Amazon Kendra edition to use for the index. Choose <code>DEVELOPER_EDITION</code> for indexes intended for development, testing, or proof of concept. Use <code>ENTERPRISE_EDITION</code> for production. Use <code>GEN_AI_ENTERPRISE_EDITION</code> for creating generative AI applications. Once you set the edition for an index, it can't be changed.</p>
    /// <p>The <code>Edition</code> parameter is optional. If you don't supply a value, the default is <code>ENTERPRISE_EDITION</code>.</p>
    /// <p>For more information on quota limits for Gen AI Enterprise Edition, Enterprise Edition, and Developer Edition indices, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/quotas.html">Quotas</a>.</p>
    pub fn get_edition(&self) -> &::std::option::Option<crate::types::IndexEdition> {
        &self.edition
    }
    /// <p>The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html">IAM access roles for Amazon Kendra</a>.</p>
    /// This field is required.
    pub fn role_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.role_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html">IAM access roles for Amazon Kendra</a>.</p>
    pub fn set_role_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.role_arn = input;
        self
    }
    /// <p>The Amazon Resource Name (ARN) of an IAM role with permission to access your Amazon CloudWatch logs and metrics. For more information, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/iam-roles.html">IAM access roles for Amazon Kendra</a>.</p>
    pub fn get_role_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.role_arn
    }
    /// <p>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.</p>
    pub fn server_side_encryption_configuration(mut self, input: crate::types::ServerSideEncryptionConfiguration) -> Self {
        self.server_side_encryption_configuration = ::std::option::Option::Some(input);
        self
    }
    /// <p>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.</p>
    pub fn set_server_side_encryption_configuration(mut self, input: ::std::option::Option<crate::types::ServerSideEncryptionConfiguration>) -> Self {
        self.server_side_encryption_configuration = input;
        self
    }
    /// <p>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.</p>
    pub fn get_server_side_encryption_configuration(&self) -> &::std::option::Option<crate::types::ServerSideEncryptionConfiguration> {
        &self.server_side_encryption_configuration
    }
    /// <p>A description for the index.</p>
    pub fn description(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.description = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>A description for the index.</p>
    pub fn set_description(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.description = input;
        self
    }
    /// <p>A description for the index.</p>
    pub fn get_description(&self) -> &::std::option::Option<::std::string::String> {
        &self.description
    }
    /// <p>A token that you provide to identify the request to create an index. Multiple calls to the <code>CreateIndex</code> API with the same client token will create only one index.</p>
    pub fn client_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.client_token = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>A token that you provide to identify the request to create an index. Multiple calls to the <code>CreateIndex</code> API with the same client token will create only one index.</p>
    pub fn set_client_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.client_token = input;
        self
    }
    /// <p>A token that you provide to identify the request to create an index. Multiple calls to the <code>CreateIndex</code> API with the same client token will create only one index.</p>
    pub fn get_client_token(&self) -> &::std::option::Option<::std::string::String> {
        &self.client_token
    }
    /// Appends an item to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>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: _ . : / = + - @.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        let mut v = self.tags.unwrap_or_default();
        v.push(input);
        self.tags = ::std::option::Option::Some(v);
        self
    }
    /// <p>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: _ . : / = + - @.</p>
    pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
        self.tags = input;
        self
    }
    /// <p>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: _ . : / = + - @.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        &self.tags
    }
    /// Appends an item to `user_token_configurations`.
    ///
    /// To override the contents of this collection use [`set_user_token_configurations`](Self::set_user_token_configurations).
    ///
    /// <p>The user token configuration.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>UserTokenConfigurations</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    pub fn user_token_configurations(mut self, input: crate::types::UserTokenConfiguration) -> Self {
        let mut v = self.user_token_configurations.unwrap_or_default();
        v.push(input);
        self.user_token_configurations = ::std::option::Option::Some(v);
        self
    }
    /// <p>The user token configuration.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>UserTokenConfigurations</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    pub fn set_user_token_configurations(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::UserTokenConfiguration>>) -> Self {
        self.user_token_configurations = input;
        self
    }
    /// <p>The user token configuration.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>UserTokenConfigurations</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    pub fn get_user_token_configurations(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::UserTokenConfiguration>> {
        &self.user_token_configurations
    }
    /// <p>The user context policy.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use <code>ATTRIBUTE_FILTER</code> to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>USER_TOKEN</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    /// <dl>
    /// <dt>
    /// ATTRIBUTE_FILTER
    /// </dt>
    /// <dd>
    /// <p>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 <code>_user_id</code> and <code>_group_ids</code> or you can provide user and group information in <code>UserContext</code>.</p>
    /// </dd>
    /// <dt>
    /// USER_TOKEN
    /// </dt>
    /// <dd>
    /// <p>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.</p>
    /// </dd>
    /// </dl>
    pub fn user_context_policy(mut self, input: crate::types::UserContextPolicy) -> Self {
        self.user_context_policy = ::std::option::Option::Some(input);
        self
    }
    /// <p>The user context policy.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use <code>ATTRIBUTE_FILTER</code> to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>USER_TOKEN</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    /// <dl>
    /// <dt>
    /// ATTRIBUTE_FILTER
    /// </dt>
    /// <dd>
    /// <p>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 <code>_user_id</code> and <code>_group_ids</code> or you can provide user and group information in <code>UserContext</code>.</p>
    /// </dd>
    /// <dt>
    /// USER_TOKEN
    /// </dt>
    /// <dd>
    /// <p>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.</p>
    /// </dd>
    /// </dl>
    pub fn set_user_context_policy(mut self, input: ::std::option::Option<crate::types::UserContextPolicy>) -> Self {
        self.user_context_policy = input;
        self
    }
    /// <p>The user context policy.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, you can only use <code>ATTRIBUTE_FILTER</code> to filter search results by user context. If you're using an Amazon Kendra Gen AI Enterprise Edition index and you try to use <code>USER_TOKEN</code> to configure user context policy, Amazon Kendra returns a <code>ValidationException</code> error.</p>
    /// </important>
    /// <dl>
    /// <dt>
    /// ATTRIBUTE_FILTER
    /// </dt>
    /// <dd>
    /// <p>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 <code>_user_id</code> and <code>_group_ids</code> or you can provide user and group information in <code>UserContext</code>.</p>
    /// </dd>
    /// <dt>
    /// USER_TOKEN
    /// </dt>
    /// <dd>
    /// <p>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.</p>
    /// </dd>
    /// </dl>
    pub fn get_user_context_policy(&self) -> &::std::option::Option<crate::types::UserContextPolicy> {
        &self.user_context_policy
    }
    /// <p>Gets users and groups from IAM Identity Center identity source. To configure this, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/API_UserGroupResolutionConfiguration.html">UserGroupResolutionConfiguration</a>. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, <code>UserGroupResolutionConfiguration</code> isn't supported.</p>
    /// </important>
    pub fn user_group_resolution_configuration(mut self, input: crate::types::UserGroupResolutionConfiguration) -> Self {
        self.user_group_resolution_configuration = ::std::option::Option::Some(input);
        self
    }
    /// <p>Gets users and groups from IAM Identity Center identity source. To configure this, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/API_UserGroupResolutionConfiguration.html">UserGroupResolutionConfiguration</a>. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, <code>UserGroupResolutionConfiguration</code> isn't supported.</p>
    /// </important>
    pub fn set_user_group_resolution_configuration(mut self, input: ::std::option::Option<crate::types::UserGroupResolutionConfiguration>) -> Self {
        self.user_group_resolution_configuration = input;
        self
    }
    /// <p>Gets users and groups from IAM Identity Center identity source. To configure this, see <a href="https://docs.aws.amazon.com/kendra/latest/dg/API_UserGroupResolutionConfiguration.html">UserGroupResolutionConfiguration</a>. This is useful for user context filtering, where search results are filtered based on the user or their group access to documents.</p><important>
    /// <p>If you're using an Amazon Kendra Gen AI Enterprise Edition index, <code>UserGroupResolutionConfiguration</code> isn't supported.</p>
    /// </important>
    pub fn get_user_group_resolution_configuration(&self) -> &::std::option::Option<crate::types::UserGroupResolutionConfiguration> {
        &self.user_group_resolution_configuration
    }
    /// Consumes the builder and constructs a [`CreateIndexInput`](crate::operation::create_index::CreateIndexInput).
    pub fn build(self) -> ::std::result::Result<crate::operation::create_index::CreateIndexInput, ::aws_smithy_types::error::operation::BuildError> {
        ::std::result::Result::Ok(crate::operation::create_index::CreateIndexInput {
            name: self.name,
            edition: self.edition,
            role_arn: self.role_arn,
            server_side_encryption_configuration: self.server_side_encryption_configuration,
            description: self.description,
            client_token: self.client_token,
            tags: self.tags,
            user_token_configurations: self.user_token_configurations,
            user_context_policy: self.user_context_policy,
            user_group_resolution_configuration: self.user_group_resolution_configuration,
        })
    }
}