Create AWS Kendra Search Indexes

The aws:kendra/index:Index resource, part of the Pulumi AWS provider, provisions an Amazon Kendra index that stores and searches enterprise documents. This guide focuses on four capabilities: basic index creation with IAM roles, capacity scaling and encryption, access control via AWS SSO and JWT, and metadata field configuration.

Kendra indexes require IAM roles with permissions for CloudWatch, S3, and document ingestion. Access control features depend on AWS SSO or JWT integration. The examples are intentionally small. Combine them with your own data sources, query configuration, and document ingestion pipelines.

Create a basic index with name and IAM role

Most deployments start by creating an index with a name, edition, and IAM role for CloudWatch and S3 access.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.kendra.Index("example", {
    name: "example",
    description: "example",
    edition: "DEVELOPER_EDITION",
    roleArn: _this.arn,
    tags: {
        Key1: "Value1",
    },
});

import pulumi
import pulumi_aws as aws

example = aws.kendra.Index("example",
    name="example",
    description="example",
    edition="DEVELOPER_EDITION",
    role_arn=this["arn"],
    tags={
        "Key1": "Value1",
    })

package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/kendra"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := kendra.NewIndex(ctx, "example", &kendra.IndexArgs{
			Name:        pulumi.String("example"),
			Description: pulumi.String("example"),
			Edition:     pulumi.String("DEVELOPER_EDITION"),
			RoleArn:     pulumi.Any(this.Arn),
			Tags: pulumi.StringMap{
				"Key1": pulumi.String("Value1"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Kendra.Index("example", new()
    {
        Name = "example",
        Description = "example",
        Edition = "DEVELOPER_EDITION",
        RoleArn = @this.Arn,
        Tags = 
        {
            { "Key1", "Value1" },
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.kendra.Index;
import com.pulumi.aws.kendra.IndexArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new Index("example", IndexArgs.builder()
            .name("example")
            .description("example")
            .edition("DEVELOPER_EDITION")
            .roleArn(this_.arn())
            .tags(Map.of("Key1", "Value1"))
            .build());

    }
}

resources:
  example:
    type: aws:kendra:Index
    properties:
      name: example
      description: example
      edition: DEVELOPER_EDITION
      roleArn: ${this.arn}
      tags:
        Key1: Value1

The edition property determines the index tier: DEVELOPER_EDITION for testing, ENTERPRISE_EDITION for production workloads. The roleArn grants Kendra permissions to write CloudWatch logs and read documents from S3 during ingestion. The index starts with default capacity and no encryption.

Scale query and storage capacity with capacity units

Production indexes often need more query throughput or document storage than the default allocation.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.kendra.Index("example", {
    name: "example",
    edition: "DEVELOPER_EDITION",
    roleArn: _this.arn,
    capacityUnits: {
        queryCapacityUnits: 2,
        storageCapacityUnits: 2,
    },
});

import pulumi
import pulumi_aws as aws

example = aws.kendra.Index("example",
    name="example",
    edition="DEVELOPER_EDITION",
    role_arn=this["arn"],
    capacity_units={
        "query_capacity_units": 2,
        "storage_capacity_units": 2,
    })

package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/kendra"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := kendra.NewIndex(ctx, "example", &kendra.IndexArgs{
			Name:    pulumi.String("example"),
			Edition: pulumi.String("DEVELOPER_EDITION"),
			RoleArn: pulumi.Any(this.Arn),
			CapacityUnits: &kendra.IndexCapacityUnitsArgs{
				QueryCapacityUnits:   pulumi.Int(2),
				StorageCapacityUnits: pulumi.Int(2),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Kendra.Index("example", new()
    {
        Name = "example",
        Edition = "DEVELOPER_EDITION",
        RoleArn = @this.Arn,
        CapacityUnits = new Aws.Kendra.Inputs.IndexCapacityUnitsArgs
        {
            QueryCapacityUnits = 2,
            StorageCapacityUnits = 2,
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.kendra.Index;
import com.pulumi.aws.kendra.IndexArgs;
import com.pulumi.aws.kendra.inputs.IndexCapacityUnitsArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new Index("example", IndexArgs.builder()
            .name("example")
            .edition("DEVELOPER_EDITION")
            .roleArn(this_.arn())
            .capacityUnits(IndexCapacityUnitsArgs.builder()
                .queryCapacityUnits(2)
                .storageCapacityUnits(2)
                .build())
            .build());

    }
}

resources:
  example:
    type: aws:kendra:Index
    properties:
      name: example
      edition: DEVELOPER_EDITION
      roleArn: ${this.arn}
      capacityUnits:
        queryCapacityUnits: 2
        storageCapacityUnits: 2

The capacityUnits block sets queryCapacityUnits for concurrent queries and storageCapacityUnits for document storage. Each unit increases capacity in fixed increments. Kendra charges per capacity unit, so scale based on actual usage patterns.

Encrypt indexed data with a KMS key

Organizations with compliance requirements encrypt indexed documents using customer-managed KMS keys.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.kendra.Index("example", {
    name: "example",
    roleArn: thisAwsIamRole.arn,
    serverSideEncryptionConfiguration: {
        kmsKeyId: _this.arn,
    },
});

import pulumi
import pulumi_aws as aws

example = aws.kendra.Index("example",
    name="example",
    role_arn=this_aws_iam_role["arn"],
    server_side_encryption_configuration={
        "kms_key_id": this["arn"],
    })

package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/kendra"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := kendra.NewIndex(ctx, "example", &kendra.IndexArgs{
			Name:    pulumi.String("example"),
			RoleArn: pulumi.Any(thisAwsIamRole.Arn),
			ServerSideEncryptionConfiguration: &kendra.IndexServerSideEncryptionConfigurationArgs{
				KmsKeyId: pulumi.Any(this.Arn),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Kendra.Index("example", new()
    {
        Name = "example",
        RoleArn = thisAwsIamRole.Arn,
        ServerSideEncryptionConfiguration = new Aws.Kendra.Inputs.IndexServerSideEncryptionConfigurationArgs
        {
            KmsKeyId = @this.Arn,
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.kendra.Index;
import com.pulumi.aws.kendra.IndexArgs;
import com.pulumi.aws.kendra.inputs.IndexServerSideEncryptionConfigurationArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new Index("example", IndexArgs.builder()
            .name("example")
            .roleArn(thisAwsIamRole.arn())
            .serverSideEncryptionConfiguration(IndexServerSideEncryptionConfigurationArgs.builder()
                .kmsKeyId(this_.arn())
                .build())
            .build());

    }
}

resources:
  example:
    type: aws:kendra:Index
    properties:
      name: example
      roleArn: ${thisAwsIamRole.arn}
      serverSideEncryptionConfiguration:
        kmsKeyId: ${this.arn}

The serverSideEncryptionConfiguration block specifies the KMS key ARN. Kendra encrypts all indexed content and metadata with this key. The IAM role must have permissions to use the KMS key for encryption and decryption operations.

Integrate with AWS SSO for access control

When search results need to respect organizational access controls, Kendra fetches user and group information from AWS SSO.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.kendra.Index("example", {
    name: "example",
    roleArn: _this.arn,
    userGroupResolutionConfiguration: {
        userGroupResolutionMode: "AWS_SSO",
    },
});

import pulumi
import pulumi_aws as aws

example = aws.kendra.Index("example",
    name="example",
    role_arn=this["arn"],
    user_group_resolution_configuration={
        "user_group_resolution_mode": "AWS_SSO",
    })

package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/kendra"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := kendra.NewIndex(ctx, "example", &kendra.IndexArgs{
			Name:    pulumi.String("example"),
			RoleArn: pulumi.Any(this.Arn),
			UserGroupResolutionConfiguration: &kendra.IndexUserGroupResolutionConfigurationArgs{
				UserGroupResolutionMode: pulumi.String("AWS_SSO"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Kendra.Index("example", new()
    {
        Name = "example",
        RoleArn = @this.Arn,
        UserGroupResolutionConfiguration = new Aws.Kendra.Inputs.IndexUserGroupResolutionConfigurationArgs
        {
            UserGroupResolutionMode = "AWS_SSO",
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.kendra.Index;
import com.pulumi.aws.kendra.IndexArgs;
import com.pulumi.aws.kendra.inputs.IndexUserGroupResolutionConfigurationArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new Index("example", IndexArgs.builder()
            .name("example")
            .roleArn(this_.arn())
            .userGroupResolutionConfiguration(IndexUserGroupResolutionConfigurationArgs.builder()
                .userGroupResolutionMode("AWS_SSO")
                .build())
            .build());

    }
}

resources:
  example:
    type: aws:kendra:Index
    properties:
      name: example
      roleArn: ${this.arn}
      userGroupResolutionConfiguration:
        userGroupResolutionMode: AWS_SSO

The userGroupResolutionConfiguration block enables AWS SSO integration. Setting userGroupResolutionMode to AWS_SSO tells Kendra to fetch group memberships from your SSO directory. Search results automatically filter based on the user’s group access.

Configure built-in document metadata fields

Kendra provides predefined metadata fields for common document attributes like authors, creation dates, and file types.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.kendra.Index("example", {
    name: "example",
    roleArn: _this.arn,
    documentMetadataConfigurationUpdates: [
        {
            name: "_authors",
            type: "STRING_LIST_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: false,
            },
            relevance: {
                importance: 1,
            },
        },
        {
            name: "_category",
            type: "STRING_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_created_at",
            type: "DATE_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                freshness: false,
                importance: 1,
                duration: "25920000s",
                rankOrder: "ASCENDING",
            },
        },
        {
            name: "_data_source_id",
            type: "STRING_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_document_title",
            type: "STRING_VALUE",
            search: {
                displayable: true,
                facetable: false,
                searchable: true,
                sortable: true,
            },
            relevance: {
                importance: 2,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_excerpt_page_number",
            type: "LONG_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: false,
            },
            relevance: {
                importance: 2,
                rankOrder: "ASCENDING",
            },
        },
        {
            name: "_faq_id",
            type: "STRING_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_file_type",
            type: "STRING_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_language_code",
            type: "STRING_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_last_updated_at",
            type: "DATE_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                freshness: false,
                importance: 1,
                duration: "25920000s",
                rankOrder: "ASCENDING",
            },
        },
        {
            name: "_source_uri",
            type: "STRING_VALUE",
            search: {
                displayable: true,
                facetable: false,
                searchable: false,
                sortable: false,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_tenant_id",
            type: "STRING_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_version",
            type: "STRING_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                valuesImportanceMap: {},
            },
        },
        {
            name: "_view_count",
            type: "LONG_VALUE",
            search: {
                displayable: false,
                facetable: false,
                searchable: false,
                sortable: true,
            },
            relevance: {
                importance: 1,
                rankOrder: "ASCENDING",
            },
        },
    ],
});

import pulumi
import pulumi_aws as aws

example = aws.kendra.Index("example",
    name="example",
    role_arn=this["arn"],
    document_metadata_configuration_updates=[
        {
            "name": "_authors",
            "type": "STRING_LIST_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": False,
            },
            "relevance": {
                "importance": 1,
            },
        },
        {
            "name": "_category",
            "type": "STRING_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_created_at",
            "type": "DATE_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "freshness": False,
                "importance": 1,
                "duration": "25920000s",
                "rank_order": "ASCENDING",
            },
        },
        {
            "name": "_data_source_id",
            "type": "STRING_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_document_title",
            "type": "STRING_VALUE",
            "search": {
                "displayable": True,
                "facetable": False,
                "searchable": True,
                "sortable": True,
            },
            "relevance": {
                "importance": 2,
                "values_importance_map": {},
            },
        },
        {
            "name": "_excerpt_page_number",
            "type": "LONG_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": False,
            },
            "relevance": {
                "importance": 2,
                "rank_order": "ASCENDING",
            },
        },
        {
            "name": "_faq_id",
            "type": "STRING_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_file_type",
            "type": "STRING_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_language_code",
            "type": "STRING_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_last_updated_at",
            "type": "DATE_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "freshness": False,
                "importance": 1,
                "duration": "25920000s",
                "rank_order": "ASCENDING",
            },
        },
        {
            "name": "_source_uri",
            "type": "STRING_VALUE",
            "search": {
                "displayable": True,
                "facetable": False,
                "searchable": False,
                "sortable": False,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_tenant_id",
            "type": "STRING_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_version",
            "type": "STRING_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "values_importance_map": {},
            },
        },
        {
            "name": "_view_count",
            "type": "LONG_VALUE",
            "search": {
                "displayable": False,
                "facetable": False,
                "searchable": False,
                "sortable": True,
            },
            "relevance": {
                "importance": 1,
                "rank_order": "ASCENDING",
            },
        },
    ])

package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/kendra"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := kendra.NewIndex(ctx, "example", &kendra.IndexArgs{
			Name:    pulumi.String("example"),
			RoleArn: pulumi.Any(this.Arn),
			DocumentMetadataConfigurationUpdates: kendra.IndexDocumentMetadataConfigurationUpdateArray{
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_authors"),
					Type: pulumi.String("STRING_LIST_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(false),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance: pulumi.Int(1),
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_category"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_created_at"),
					Type: pulumi.String("DATE_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Freshness:  pulumi.Bool(false),
						Importance: pulumi.Int(1),
						Duration:   pulumi.String("25920000s"),
						RankOrder:  pulumi.String("ASCENDING"),
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_data_source_id"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_document_title"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(true),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(true),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(2),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_excerpt_page_number"),
					Type: pulumi.String("LONG_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(false),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance: pulumi.Int(2),
						RankOrder:  pulumi.String("ASCENDING"),
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_faq_id"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_file_type"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_language_code"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_last_updated_at"),
					Type: pulumi.String("DATE_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Freshness:  pulumi.Bool(false),
						Importance: pulumi.Int(1),
						Duration:   pulumi.String("25920000s"),
						RankOrder:  pulumi.String("ASCENDING"),
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_source_uri"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(true),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(false),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_tenant_id"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_version"),
					Type: pulumi.String("STRING_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance:          pulumi.Int(1),
						ValuesImportanceMap: pulumi.IntMap{},
					},
				},
				&kendra.IndexDocumentMetadataConfigurationUpdateArgs{
					Name: pulumi.String("_view_count"),
					Type: pulumi.String("LONG_VALUE"),
					Search: &kendra.IndexDocumentMetadataConfigurationUpdateSearchArgs{
						Displayable: pulumi.Bool(false),
						Facetable:   pulumi.Bool(false),
						Searchable:  pulumi.Bool(false),
						Sortable:    pulumi.Bool(true),
					},
					Relevance: &kendra.IndexDocumentMetadataConfigurationUpdateRelevanceArgs{
						Importance: pulumi.Int(1),
						RankOrder:  pulumi.String("ASCENDING"),
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Kendra.Index("example", new()
    {
        Name = "example",
        RoleArn = @this.Arn,
        DocumentMetadataConfigurationUpdates = new[]
        {
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_authors",
                Type = "STRING_LIST_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = false,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_category",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_created_at",
                Type = "DATE_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Freshness = false,
                    Importance = 1,
                    Duration = "25920000s",
                    RankOrder = "ASCENDING",
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_data_source_id",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_document_title",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = true,
                    Facetable = false,
                    Searchable = true,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 2,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_excerpt_page_number",
                Type = "LONG_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = false,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 2,
                    RankOrder = "ASCENDING",
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_faq_id",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_file_type",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_language_code",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_last_updated_at",
                Type = "DATE_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Freshness = false,
                    Importance = 1,
                    Duration = "25920000s",
                    RankOrder = "ASCENDING",
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_source_uri",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = true,
                    Facetable = false,
                    Searchable = false,
                    Sortable = false,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_tenant_id",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_version",
                Type = "STRING_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    ValuesImportanceMap = null,
                },
            },
            new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateArgs
            {
                Name = "_view_count",
                Type = "LONG_VALUE",
                Search = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs
                {
                    Displayable = false,
                    Facetable = false,
                    Searchable = false,
                    Sortable = true,
                },
                Relevance = new Aws.Kendra.Inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs
                {
                    Importance = 1,
                    RankOrder = "ASCENDING",
                },
            },
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.kendra.Index;
import com.pulumi.aws.kendra.IndexArgs;
import com.pulumi.aws.kendra.inputs.IndexDocumentMetadataConfigurationUpdateArgs;
import com.pulumi.aws.kendra.inputs.IndexDocumentMetadataConfigurationUpdateSearchArgs;
import com.pulumi.aws.kendra.inputs.IndexDocumentMetadataConfigurationUpdateRelevanceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new Index("example", IndexArgs.builder()
            .name("example")
            .roleArn(this_.arn())
            .documentMetadataConfigurationUpdates(            
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_authors")
                    .type("STRING_LIST_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(false)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_category")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_created_at")
                    .type("DATE_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .freshness(false)
                        .importance(1)
                        .duration("25920000s")
                        .rankOrder("ASCENDING")
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_data_source_id")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_document_title")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(true)
                        .facetable(false)
                        .searchable(true)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(2)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_excerpt_page_number")
                    .type("LONG_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(false)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(2)
                        .rankOrder("ASCENDING")
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_faq_id")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_file_type")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_language_code")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_last_updated_at")
                    .type("DATE_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .freshness(false)
                        .importance(1)
                        .duration("25920000s")
                        .rankOrder("ASCENDING")
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_source_uri")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(true)
                        .facetable(false)
                        .searchable(false)
                        .sortable(false)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_tenant_id")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_version")
                    .type("STRING_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .valuesImportanceMap(Map.ofEntries(
                        ))
                        .build())
                    .build(),
                IndexDocumentMetadataConfigurationUpdateArgs.builder()
                    .name("_view_count")
                    .type("LONG_VALUE")
                    .search(IndexDocumentMetadataConfigurationUpdateSearchArgs.builder()
                        .displayable(false)
                        .facetable(false)
                        .searchable(false)
                        .sortable(true)
                        .build())
                    .relevance(IndexDocumentMetadataConfigurationUpdateRelevanceArgs.builder()
                        .importance(1)
                        .rankOrder("ASCENDING")
                        .build())
                    .build())
            .build());

    }
}

resources:
  example:
    type: aws:kendra:Index
    properties:
      name: example
      roleArn: ${this.arn}
      documentMetadataConfigurationUpdates:
        - name: _authors
          type: STRING_LIST_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: false
          relevance:
            importance: 1
        - name: _category
          type: STRING_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _created_at
          type: DATE_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            freshness: false
            importance: 1
            duration: 25920000s
            rankOrder: ASCENDING
        - name: _data_source_id
          type: STRING_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _document_title
          type: STRING_VALUE
          search:
            displayable: true
            facetable: false
            searchable: true
            sortable: true
          relevance:
            importance: 2
            valuesImportanceMap: {}
        - name: _excerpt_page_number
          type: LONG_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: false
          relevance:
            importance: 2
            rankOrder: ASCENDING
        - name: _faq_id
          type: STRING_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _file_type
          type: STRING_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _language_code
          type: STRING_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _last_updated_at
          type: DATE_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            freshness: false
            importance: 1
            duration: 25920000s
            rankOrder: ASCENDING
        - name: _source_uri
          type: STRING_VALUE
          search:
            displayable: true
            facetable: false
            searchable: false
            sortable: false
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _tenant_id
          type: STRING_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _version
          type: STRING_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            valuesImportanceMap: {}
        - name: _view_count
          type: LONG_VALUE
          search:
            displayable: false
            facetable: false
            searchable: false
            sortable: true
          relevance:
            importance: 1
            rankOrder: ASCENDING

The documentMetadataConfigurationUpdates array configures how each field affects search behavior. The search block controls whether fields are displayable in results, searchable in queries, facetable for filtering, or sortable. The relevance block sets importance weights and ranking behavior. Fields like _document_title have higher importance (2) than _category (1), affecting result ranking.

Configure JWT-based user authentication

Applications that authenticate users with JSON Web Tokens can pass user identity and group membership to Kendra.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.kendra.Index("example", {
    name: "example",
    roleArn: _this.arn,
    userTokenConfigurations: {
        jsonTokenTypeConfiguration: {
            groupAttributeField: "groups",
            userNameAttributeField: "username",
        },
    },
});

import pulumi
import pulumi_aws as aws

example = aws.kendra.Index("example",
    name="example",
    role_arn=this["arn"],
    user_token_configurations={
        "json_token_type_configuration": {
            "group_attribute_field": "groups",
            "user_name_attribute_field": "username",
        },
    })

package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/kendra"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := kendra.NewIndex(ctx, "example", &kendra.IndexArgs{
			Name:    pulumi.String("example"),
			RoleArn: pulumi.Any(this.Arn),
			UserTokenConfigurations: &kendra.IndexUserTokenConfigurationsArgs{
				JsonTokenTypeConfiguration: &kendra.IndexUserTokenConfigurationsJsonTokenTypeConfigurationArgs{
					GroupAttributeField:    pulumi.String("groups"),
					UserNameAttributeField: pulumi.String("username"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Kendra.Index("example", new()
    {
        Name = "example",
        RoleArn = @this.Arn,
        UserTokenConfigurations = new Aws.Kendra.Inputs.IndexUserTokenConfigurationsArgs
        {
            JsonTokenTypeConfiguration = new Aws.Kendra.Inputs.IndexUserTokenConfigurationsJsonTokenTypeConfigurationArgs
            {
                GroupAttributeField = "groups",
                UserNameAttributeField = "username",
            },
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.kendra.Index;
import com.pulumi.aws.kendra.IndexArgs;
import com.pulumi.aws.kendra.inputs.IndexUserTokenConfigurationsArgs;
import com.pulumi.aws.kendra.inputs.IndexUserTokenConfigurationsJsonTokenTypeConfigurationArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new Index("example", IndexArgs.builder()
            .name("example")
            .roleArn(this_.arn())
            .userTokenConfigurations(IndexUserTokenConfigurationsArgs.builder()
                .jsonTokenTypeConfiguration(IndexUserTokenConfigurationsJsonTokenTypeConfigurationArgs.builder()
                    .groupAttributeField("groups")
                    .userNameAttributeField("username")
                    .build())
                .build())
            .build());

    }
}

resources:
  example:
    type: aws:kendra:Index
    properties:
      name: example
      roleArn: ${this.arn}
      userTokenConfigurations:
        jsonTokenTypeConfiguration:
          groupAttributeField: groups
          userNameAttributeField: username

The jsonTokenTypeConfiguration block maps JWT claims to Kendra’s user model. The groupAttributeField and userNameAttributeField properties specify which JWT claims contain group membership and username. Your application must provide JWTs with these fields when querying the index.

Beyond these examples

These snippets focus on specific index-level features: index creation and capacity scaling, encryption and access control, and metadata field configuration. They’re intentionally minimal rather than full search applications.

The examples may reference pre-existing infrastructure such as IAM roles with Kendra, CloudWatch, and S3 permissions, KMS keys for encryption, and AWS SSO configuration for SSO integration. They focus on configuring the index rather than provisioning everything around it.

To keep things focused, common index patterns are omitted, including:

  • Custom metadata fields beyond built-in fields (shown in Example 6)
  • User context policy configuration (userContextPolicy)
  • Data source connections and document ingestion
  • Query and synonym configuration

These omissions are intentional: the goal is to illustrate how each index feature is wired, not provide drop-in search solutions. See the Kendra Index resource reference for all available configuration options.

Let's create AWS Kendra Search Indexes

Get started with Pulumi Cloud, then follow our quick setup guide to deploy this infrastructure.

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Frequently Asked Questions

Index Configuration & Editions
What are the edition options and can I change them after creation?
Three editions are available: DEVELOPER_EDITION (for development, testing, or proof of concept), ENTERPRISE_EDITION (for production, the default), and GEN_AI_ENTERPRISE_EDITION (for generative AI applications). The edition cannot be changed after index creation.
What IAM permissions does the roleArn need?
The IAM role must have permissions to access Amazon CloudWatch logs and metrics. It’s also used when calling the BatchPutDocument API to index documents from an Amazon S3 bucket.
Document Metadata Configuration
What are the 14 predefined document metadata fields?
The predefined fields are: _authors, _category, _created_at, _data_source_id, _document_title, _excerpt_page_number, _faq_id, _file_type, _language_code, _last_updated_at, _source_uri, _tenant_id, _version, and _view_count.
Do I need to define all document metadata fields if I use documentMetadataConfigurationUpdates?
Yes, if you specify documentMetadataConfigurationUpdates, you must define all elements, including the 14 predefined fields. Use the complete example as a starting point.
Can I delete document metadata fields after adding them?
No, blocks in documentMetadataConfigurationUpdates cannot be removed since index fields cannot be deleted. Plan your metadata schema carefully before adding fields.
How do I add custom document metadata fields?
Add custom fields to documentMetadataConfigurationUpdates alongside the 14 predefined fields. Four types are supported: STRING_VALUE, LONG_VALUE, STRING_LIST_VALUE, and DATE_VALUE.
What's the maximum number of document metadata fields?
The maximum is 500 items for documentMetadataConfigurationUpdates.
Security & Encryption
Can I change the encryption configuration after creating an index?
No, serverSideEncryptionConfiguration is immutable. Configure your KMS encryption settings correctly during initial index creation.
What types of KMS keys are supported for encryption?
Only symmetric KMS customer managed keys (CMKs) are supported. Amazon Kendra doesn’t support asymmetric CMKs.
User Authentication & Access Control
What user authentication options are available?
You can configure userContextPolicy (with values ATTRIBUTE_FILTER or USER_TOKEN, defaulting to ATTRIBUTE_FILTER), userGroupResolutionConfiguration for AWS SSO integration, or userTokenConfigurations for JSON token-based authentication.
How do I integrate with AWS Single Sign-On?
Configure userGroupResolutionConfiguration with userGroupResolutionMode set to AWS_SSO to fetch access levels of groups and users from AWS SSO.
Capacity & Performance
How do I configure additional capacity for my index?
Use capacityUnits to set additional document storage and query capacity. Configure queryCapacityUnits and storageCapacityUnits as needed (the example shows both set to 2).

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