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AWS Classic v6.37.0 published on Tuesday, May 21, 2024 by Pulumi

aws.bedrock.AgentKnowledgeBase

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Try AWS Native preview for resources not in the classic version.

AWS Classic v6.37.0 published on Tuesday, May 21, 2024 by Pulumi

    Resource for managing an AWS Agents for Amazon Bedrock Knowledge Base.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
    import * as aws from "@pulumi/aws";
    
    const example = new aws.bedrock.AgentKnowledgeBase("example", {
        name: "example",
        roleArn: exampleAwsIamRole.arn,
        knowledgeBaseConfiguration: {
            vectorKnowledgeBaseConfiguration: {
                embeddingModelArn: "arn:aws:bedrock:us-west-2::foundation-model/amazon.titan-embed-text-v1",
            },
            type: "VECTOR",
        },
        storageConfiguration: {
            type: "OPENSEARCH_SERVERLESS",
            opensearchServerlessConfiguration: {
                collectionArn: "arn:aws:aoss:us-west-2:123456789012:collection/142bezjddq707i5stcrf",
                vectorIndexName: "bedrock-knowledge-base-default-index",
                fieldMapping: {
                    vectorField: "bedrock-knowledge-base-default-vector",
                    textField: "AMAZON_BEDROCK_TEXT_CHUNK",
                    metadataField: "AMAZON_BEDROCK_METADATA",
                },
            },
        },
    });
    
    import pulumi
    import pulumi_aws as aws
    
    example = aws.bedrock.AgentKnowledgeBase("example",
        name="example",
        role_arn=example_aws_iam_role["arn"],
        knowledge_base_configuration=aws.bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs(
            vector_knowledge_base_configuration=aws.bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs(
                embedding_model_arn="arn:aws:bedrock:us-west-2::foundation-model/amazon.titan-embed-text-v1",
            ),
            type="VECTOR",
        ),
        storage_configuration=aws.bedrock.AgentKnowledgeBaseStorageConfigurationArgs(
            type="OPENSEARCH_SERVERLESS",
            opensearch_serverless_configuration=aws.bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs(
                collection_arn="arn:aws:aoss:us-west-2:123456789012:collection/142bezjddq707i5stcrf",
                vector_index_name="bedrock-knowledge-base-default-index",
                field_mapping=aws.bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs(
                    vector_field="bedrock-knowledge-base-default-vector",
                    text_field="AMAZON_BEDROCK_TEXT_CHUNK",
                    metadata_field="AMAZON_BEDROCK_METADATA",
                ),
            ),
        ))
    
    package main
    
    import (
    	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/bedrock"
    	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
    )
    
    func main() {
    	pulumi.Run(func(ctx *pulumi.Context) error {
    		_, err := bedrock.NewAgentKnowledgeBase(ctx, "example", &bedrock.AgentKnowledgeBaseArgs{
    			Name:    pulumi.String("example"),
    			RoleArn: pulumi.Any(exampleAwsIamRole.Arn),
    			KnowledgeBaseConfiguration: &bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs{
    				VectorKnowledgeBaseConfiguration: &bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs{
    					EmbeddingModelArn: pulumi.String("arn:aws:bedrock:us-west-2::foundation-model/amazon.titan-embed-text-v1"),
    				},
    				Type: pulumi.String("VECTOR"),
    			},
    			StorageConfiguration: &bedrock.AgentKnowledgeBaseStorageConfigurationArgs{
    				Type: pulumi.String("OPENSEARCH_SERVERLESS"),
    				OpensearchServerlessConfiguration: &bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs{
    					CollectionArn:   pulumi.String("arn:aws:aoss:us-west-2:123456789012:collection/142bezjddq707i5stcrf"),
    					VectorIndexName: pulumi.String("bedrock-knowledge-base-default-index"),
    					FieldMapping: &bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs{
    						VectorField:   pulumi.String("bedrock-knowledge-base-default-vector"),
    						TextField:     pulumi.String("AMAZON_BEDROCK_TEXT_CHUNK"),
    						MetadataField: pulumi.String("AMAZON_BEDROCK_METADATA"),
    					},
    				},
    			},
    		})
    		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.Bedrock.AgentKnowledgeBase("example", new()
        {
            Name = "example",
            RoleArn = exampleAwsIamRole.Arn,
            KnowledgeBaseConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs
            {
                VectorKnowledgeBaseConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs
                {
                    EmbeddingModelArn = "arn:aws:bedrock:us-west-2::foundation-model/amazon.titan-embed-text-v1",
                },
                Type = "VECTOR",
            },
            StorageConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationArgs
            {
                Type = "OPENSEARCH_SERVERLESS",
                OpensearchServerlessConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs
                {
                    CollectionArn = "arn:aws:aoss:us-west-2:123456789012:collection/142bezjddq707i5stcrf",
                    VectorIndexName = "bedrock-knowledge-base-default-index",
                    FieldMapping = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs
                    {
                        VectorField = "bedrock-knowledge-base-default-vector",
                        TextField = "AMAZON_BEDROCK_TEXT_CHUNK",
                        MetadataField = "AMAZON_BEDROCK_METADATA",
                    },
                },
            },
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.aws.bedrock.AgentKnowledgeBase;
    import com.pulumi.aws.bedrock.AgentKnowledgeBaseArgs;
    import com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs;
    import com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs;
    import com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseStorageConfigurationArgs;
    import com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs;
    import com.pulumi.aws.bedrock.inputs.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs;
    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 AgentKnowledgeBase("example", AgentKnowledgeBaseArgs.builder()        
                .name("example")
                .roleArn(exampleAwsIamRole.arn())
                .knowledgeBaseConfiguration(AgentKnowledgeBaseKnowledgeBaseConfigurationArgs.builder()
                    .vectorKnowledgeBaseConfiguration(AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs.builder()
                        .embeddingModelArn("arn:aws:bedrock:us-west-2::foundation-model/amazon.titan-embed-text-v1")
                        .build())
                    .type("VECTOR")
                    .build())
                .storageConfiguration(AgentKnowledgeBaseStorageConfigurationArgs.builder()
                    .type("OPENSEARCH_SERVERLESS")
                    .opensearchServerlessConfiguration(AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs.builder()
                        .collectionArn("arn:aws:aoss:us-west-2:123456789012:collection/142bezjddq707i5stcrf")
                        .vectorIndexName("bedrock-knowledge-base-default-index")
                        .fieldMapping(AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs.builder()
                            .vectorField("bedrock-knowledge-base-default-vector")
                            .textField("AMAZON_BEDROCK_TEXT_CHUNK")
                            .metadataField("AMAZON_BEDROCK_METADATA")
                            .build())
                        .build())
                    .build())
                .build());
    
        }
    }
    
    resources:
      example:
        type: aws:bedrock:AgentKnowledgeBase
        properties:
          name: example
          roleArn: ${exampleAwsIamRole.arn}
          knowledgeBaseConfiguration:
            vectorKnowledgeBaseConfiguration:
              embeddingModelArn: arn:aws:bedrock:us-west-2::foundation-model/amazon.titan-embed-text-v1
            type: VECTOR
          storageConfiguration:
            type: OPENSEARCH_SERVERLESS
            opensearchServerlessConfiguration:
              collectionArn: arn:aws:aoss:us-west-2:123456789012:collection/142bezjddq707i5stcrf
              vectorIndexName: bedrock-knowledge-base-default-index
              fieldMapping:
                vectorField: bedrock-knowledge-base-default-vector
                textField: AMAZON_BEDROCK_TEXT_CHUNK
                metadataField: AMAZON_BEDROCK_METADATA
    

    Create AgentKnowledgeBase Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new AgentKnowledgeBase(name: string, args: AgentKnowledgeBaseArgs, opts?: CustomResourceOptions);
    @overload
    def AgentKnowledgeBase(resource_name: str,
                           args: AgentKnowledgeBaseArgs,
                           opts: Optional[ResourceOptions] = None)
    
    @overload
    def AgentKnowledgeBase(resource_name: str,
                           opts: Optional[ResourceOptions] = None,
                           role_arn: Optional[str] = None,
                           description: Optional[str] = None,
                           knowledge_base_configuration: Optional[AgentKnowledgeBaseKnowledgeBaseConfigurationArgs] = None,
                           name: Optional[str] = None,
                           storage_configuration: Optional[AgentKnowledgeBaseStorageConfigurationArgs] = None,
                           tags: Optional[Mapping[str, str]] = None,
                           timeouts: Optional[AgentKnowledgeBaseTimeoutsArgs] = None)
    func NewAgentKnowledgeBase(ctx *Context, name string, args AgentKnowledgeBaseArgs, opts ...ResourceOption) (*AgentKnowledgeBase, error)
    public AgentKnowledgeBase(string name, AgentKnowledgeBaseArgs args, CustomResourceOptions? opts = null)
    public AgentKnowledgeBase(String name, AgentKnowledgeBaseArgs args)
    public AgentKnowledgeBase(String name, AgentKnowledgeBaseArgs args, CustomResourceOptions options)
    
    type: aws:bedrock:AgentKnowledgeBase
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    

    Parameters

    name string
    The unique name of the resource.
    args AgentKnowledgeBaseArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args AgentKnowledgeBaseArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args AgentKnowledgeBaseArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AgentKnowledgeBaseArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AgentKnowledgeBaseArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Example

    The following reference example uses placeholder values for all input properties.

    var agentKnowledgeBaseResource = new Aws.Bedrock.AgentKnowledgeBase("agentKnowledgeBaseResource", new()
    {
        RoleArn = "string",
        Description = "string",
        KnowledgeBaseConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs
        {
            Type = "string",
            VectorKnowledgeBaseConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs
            {
                EmbeddingModelArn = "string",
            },
        },
        Name = "string",
        StorageConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationArgs
        {
            Type = "string",
            OpensearchServerlessConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs
            {
                CollectionArn = "string",
                VectorIndexName = "string",
                FieldMapping = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs
                {
                    MetadataField = "string",
                    TextField = "string",
                    VectorField = "string",
                },
            },
            PineconeConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationPineconeConfigurationArgs
            {
                ConnectionString = "string",
                CredentialsSecretArn = "string",
                FieldMapping = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMappingArgs
                {
                    MetadataField = "string",
                    TextField = "string",
                },
                Namespace = "string",
            },
            RdsConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationRdsConfigurationArgs
            {
                CredentialsSecretArn = "string",
                DatabaseName = "string",
                ResourceArn = "string",
                TableName = "string",
                FieldMapping = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMappingArgs
                {
                    MetadataField = "string",
                    PrimaryKeyField = "string",
                    TextField = "string",
                    VectorField = "string",
                },
            },
            RedisEnterpriseCloudConfiguration = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationArgs
            {
                CredentialsSecretArn = "string",
                Endpoint = "string",
                VectorIndexName = "string",
                FieldMapping = new Aws.Bedrock.Inputs.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs
                {
                    MetadataField = "string",
                    TextField = "string",
                    VectorField = "string",
                },
            },
        },
        Tags = 
        {
            { "string", "string" },
        },
        Timeouts = new Aws.Bedrock.Inputs.AgentKnowledgeBaseTimeoutsArgs
        {
            Create = "string",
            Delete = "string",
            Update = "string",
        },
    });
    
    example, err := bedrock.NewAgentKnowledgeBase(ctx, "agentKnowledgeBaseResource", &bedrock.AgentKnowledgeBaseArgs{
    	RoleArn:     pulumi.String("string"),
    	Description: pulumi.String("string"),
    	KnowledgeBaseConfiguration: &bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs{
    		Type: pulumi.String("string"),
    		VectorKnowledgeBaseConfiguration: &bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs{
    			EmbeddingModelArn: pulumi.String("string"),
    		},
    	},
    	Name: pulumi.String("string"),
    	StorageConfiguration: &bedrock.AgentKnowledgeBaseStorageConfigurationArgs{
    		Type: pulumi.String("string"),
    		OpensearchServerlessConfiguration: &bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs{
    			CollectionArn:   pulumi.String("string"),
    			VectorIndexName: pulumi.String("string"),
    			FieldMapping: &bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs{
    				MetadataField: pulumi.String("string"),
    				TextField:     pulumi.String("string"),
    				VectorField:   pulumi.String("string"),
    			},
    		},
    		PineconeConfiguration: &bedrock.AgentKnowledgeBaseStorageConfigurationPineconeConfigurationArgs{
    			ConnectionString:     pulumi.String("string"),
    			CredentialsSecretArn: pulumi.String("string"),
    			FieldMapping: &bedrock.AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMappingArgs{
    				MetadataField: pulumi.String("string"),
    				TextField:     pulumi.String("string"),
    			},
    			Namespace: pulumi.String("string"),
    		},
    		RdsConfiguration: &bedrock.AgentKnowledgeBaseStorageConfigurationRdsConfigurationArgs{
    			CredentialsSecretArn: pulumi.String("string"),
    			DatabaseName:         pulumi.String("string"),
    			ResourceArn:          pulumi.String("string"),
    			TableName:            pulumi.String("string"),
    			FieldMapping: &bedrock.AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMappingArgs{
    				MetadataField:   pulumi.String("string"),
    				PrimaryKeyField: pulumi.String("string"),
    				TextField:       pulumi.String("string"),
    				VectorField:     pulumi.String("string"),
    			},
    		},
    		RedisEnterpriseCloudConfiguration: &bedrock.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationArgs{
    			CredentialsSecretArn: pulumi.String("string"),
    			Endpoint:             pulumi.String("string"),
    			VectorIndexName:      pulumi.String("string"),
    			FieldMapping: &bedrock.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs{
    				MetadataField: pulumi.String("string"),
    				TextField:     pulumi.String("string"),
    				VectorField:   pulumi.String("string"),
    			},
    		},
    	},
    	Tags: pulumi.StringMap{
    		"string": pulumi.String("string"),
    	},
    	Timeouts: &bedrock.AgentKnowledgeBaseTimeoutsArgs{
    		Create: pulumi.String("string"),
    		Delete: pulumi.String("string"),
    		Update: pulumi.String("string"),
    	},
    })
    
    var agentKnowledgeBaseResource = new AgentKnowledgeBase("agentKnowledgeBaseResource", AgentKnowledgeBaseArgs.builder()        
        .roleArn("string")
        .description("string")
        .knowledgeBaseConfiguration(AgentKnowledgeBaseKnowledgeBaseConfigurationArgs.builder()
            .type("string")
            .vectorKnowledgeBaseConfiguration(AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs.builder()
                .embeddingModelArn("string")
                .build())
            .build())
        .name("string")
        .storageConfiguration(AgentKnowledgeBaseStorageConfigurationArgs.builder()
            .type("string")
            .opensearchServerlessConfiguration(AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs.builder()
                .collectionArn("string")
                .vectorIndexName("string")
                .fieldMapping(AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs.builder()
                    .metadataField("string")
                    .textField("string")
                    .vectorField("string")
                    .build())
                .build())
            .pineconeConfiguration(AgentKnowledgeBaseStorageConfigurationPineconeConfigurationArgs.builder()
                .connectionString("string")
                .credentialsSecretArn("string")
                .fieldMapping(AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMappingArgs.builder()
                    .metadataField("string")
                    .textField("string")
                    .build())
                .namespace("string")
                .build())
            .rdsConfiguration(AgentKnowledgeBaseStorageConfigurationRdsConfigurationArgs.builder()
                .credentialsSecretArn("string")
                .databaseName("string")
                .resourceArn("string")
                .tableName("string")
                .fieldMapping(AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMappingArgs.builder()
                    .metadataField("string")
                    .primaryKeyField("string")
                    .textField("string")
                    .vectorField("string")
                    .build())
                .build())
            .redisEnterpriseCloudConfiguration(AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationArgs.builder()
                .credentialsSecretArn("string")
                .endpoint("string")
                .vectorIndexName("string")
                .fieldMapping(AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs.builder()
                    .metadataField("string")
                    .textField("string")
                    .vectorField("string")
                    .build())
                .build())
            .build())
        .tags(Map.of("string", "string"))
        .timeouts(AgentKnowledgeBaseTimeoutsArgs.builder()
            .create("string")
            .delete("string")
            .update("string")
            .build())
        .build());
    
    agent_knowledge_base_resource = aws.bedrock.AgentKnowledgeBase("agentKnowledgeBaseResource",
        role_arn="string",
        description="string",
        knowledge_base_configuration=aws.bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs(
            type="string",
            vector_knowledge_base_configuration=aws.bedrock.AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs(
                embedding_model_arn="string",
            ),
        ),
        name="string",
        storage_configuration=aws.bedrock.AgentKnowledgeBaseStorageConfigurationArgs(
            type="string",
            opensearch_serverless_configuration=aws.bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs(
                collection_arn="string",
                vector_index_name="string",
                field_mapping=aws.bedrock.AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs(
                    metadata_field="string",
                    text_field="string",
                    vector_field="string",
                ),
            ),
            pinecone_configuration=aws.bedrock.AgentKnowledgeBaseStorageConfigurationPineconeConfigurationArgs(
                connection_string="string",
                credentials_secret_arn="string",
                field_mapping=aws.bedrock.AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMappingArgs(
                    metadata_field="string",
                    text_field="string",
                ),
                namespace="string",
            ),
            rds_configuration=aws.bedrock.AgentKnowledgeBaseStorageConfigurationRdsConfigurationArgs(
                credentials_secret_arn="string",
                database_name="string",
                resource_arn="string",
                table_name="string",
                field_mapping=aws.bedrock.AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMappingArgs(
                    metadata_field="string",
                    primary_key_field="string",
                    text_field="string",
                    vector_field="string",
                ),
            ),
            redis_enterprise_cloud_configuration=aws.bedrock.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationArgs(
                credentials_secret_arn="string",
                endpoint="string",
                vector_index_name="string",
                field_mapping=aws.bedrock.AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs(
                    metadata_field="string",
                    text_field="string",
                    vector_field="string",
                ),
            ),
        ),
        tags={
            "string": "string",
        },
        timeouts=aws.bedrock.AgentKnowledgeBaseTimeoutsArgs(
            create="string",
            delete="string",
            update="string",
        ))
    
    const agentKnowledgeBaseResource = new aws.bedrock.AgentKnowledgeBase("agentKnowledgeBaseResource", {
        roleArn: "string",
        description: "string",
        knowledgeBaseConfiguration: {
            type: "string",
            vectorKnowledgeBaseConfiguration: {
                embeddingModelArn: "string",
            },
        },
        name: "string",
        storageConfiguration: {
            type: "string",
            opensearchServerlessConfiguration: {
                collectionArn: "string",
                vectorIndexName: "string",
                fieldMapping: {
                    metadataField: "string",
                    textField: "string",
                    vectorField: "string",
                },
            },
            pineconeConfiguration: {
                connectionString: "string",
                credentialsSecretArn: "string",
                fieldMapping: {
                    metadataField: "string",
                    textField: "string",
                },
                namespace: "string",
            },
            rdsConfiguration: {
                credentialsSecretArn: "string",
                databaseName: "string",
                resourceArn: "string",
                tableName: "string",
                fieldMapping: {
                    metadataField: "string",
                    primaryKeyField: "string",
                    textField: "string",
                    vectorField: "string",
                },
            },
            redisEnterpriseCloudConfiguration: {
                credentialsSecretArn: "string",
                endpoint: "string",
                vectorIndexName: "string",
                fieldMapping: {
                    metadataField: "string",
                    textField: "string",
                    vectorField: "string",
                },
            },
        },
        tags: {
            string: "string",
        },
        timeouts: {
            create: "string",
            "delete": "string",
            update: "string",
        },
    });
    
    type: aws:bedrock:AgentKnowledgeBase
    properties:
        description: string
        knowledgeBaseConfiguration:
            type: string
            vectorKnowledgeBaseConfiguration:
                embeddingModelArn: string
        name: string
        roleArn: string
        storageConfiguration:
            opensearchServerlessConfiguration:
                collectionArn: string
                fieldMapping:
                    metadataField: string
                    textField: string
                    vectorField: string
                vectorIndexName: string
            pineconeConfiguration:
                connectionString: string
                credentialsSecretArn: string
                fieldMapping:
                    metadataField: string
                    textField: string
                namespace: string
            rdsConfiguration:
                credentialsSecretArn: string
                databaseName: string
                fieldMapping:
                    metadataField: string
                    primaryKeyField: string
                    textField: string
                    vectorField: string
                resourceArn: string
                tableName: string
            redisEnterpriseCloudConfiguration:
                credentialsSecretArn: string
                endpoint: string
                fieldMapping:
                    metadataField: string
                    textField: string
                    vectorField: string
                vectorIndexName: string
            type: string
        tags:
            string: string
        timeouts:
            create: string
            delete: string
            update: string
    

    AgentKnowledgeBase Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The AgentKnowledgeBase resource accepts the following input properties:

    RoleArn string
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    Description string
    Description of the knowledge base.
    KnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfiguration
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    Name string
    Name of the knowledge base.
    StorageConfiguration AgentKnowledgeBaseStorageConfiguration

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    Tags Dictionary<string, string>
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    Timeouts AgentKnowledgeBaseTimeouts
    RoleArn string
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    Description string
    Description of the knowledge base.
    KnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfigurationArgs
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    Name string
    Name of the knowledge base.
    StorageConfiguration AgentKnowledgeBaseStorageConfigurationArgs

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    Tags map[string]string
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    Timeouts AgentKnowledgeBaseTimeoutsArgs
    roleArn String
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    description String
    Description of the knowledge base.
    knowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfiguration
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name String
    Name of the knowledge base.
    storageConfiguration AgentKnowledgeBaseStorageConfiguration

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags Map<String,String>
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts AgentKnowledgeBaseTimeouts
    roleArn string
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    description string
    Description of the knowledge base.
    knowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfiguration
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name string
    Name of the knowledge base.
    storageConfiguration AgentKnowledgeBaseStorageConfiguration

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags {[key: string]: string}
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts AgentKnowledgeBaseTimeouts
    role_arn str
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    description str
    Description of the knowledge base.
    knowledge_base_configuration AgentKnowledgeBaseKnowledgeBaseConfigurationArgs
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name str
    Name of the knowledge base.
    storage_configuration AgentKnowledgeBaseStorageConfigurationArgs

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags Mapping[str, str]
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts AgentKnowledgeBaseTimeoutsArgs
    roleArn String
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    description String
    Description of the knowledge base.
    knowledgeBaseConfiguration Property Map
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name String
    Name of the knowledge base.
    storageConfiguration Property Map

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags Map<String>
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts Property Map

    Outputs

    All input properties are implicitly available as output properties. Additionally, the AgentKnowledgeBase resource produces the following output properties:

    Arn string
    ARN of the knowledge base.
    CreatedAt string
    Time at which the knowledge base was created.
    FailureReasons List<string>
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll Dictionary<string, string>
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    UpdatedAt string
    Time at which the knowledge base was last updated.
    Arn string
    ARN of the knowledge base.
    CreatedAt string
    Time at which the knowledge base was created.
    FailureReasons []string
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll map[string]string
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    UpdatedAt string
    Time at which the knowledge base was last updated.
    arn String
    ARN of the knowledge base.
    createdAt String
    Time at which the knowledge base was created.
    failureReasons List<String>
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String,String>
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    updatedAt String
    Time at which the knowledge base was last updated.
    arn string
    ARN of the knowledge base.
    createdAt string
    Time at which the knowledge base was created.
    failureReasons string[]
    id string
    The provider-assigned unique ID for this managed resource.
    tagsAll {[key: string]: string}
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    updatedAt string
    Time at which the knowledge base was last updated.
    arn str
    ARN of the knowledge base.
    created_at str
    Time at which the knowledge base was created.
    failure_reasons Sequence[str]
    id str
    The provider-assigned unique ID for this managed resource.
    tags_all Mapping[str, str]
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    updated_at str
    Time at which the knowledge base was last updated.
    arn String
    ARN of the knowledge base.
    createdAt String
    Time at which the knowledge base was created.
    failureReasons List<String>
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String>
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    updatedAt String
    Time at which the knowledge base was last updated.

    Look up Existing AgentKnowledgeBase Resource

    Get an existing AgentKnowledgeBase resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: AgentKnowledgeBaseState, opts?: CustomResourceOptions): AgentKnowledgeBase
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            arn: Optional[str] = None,
            created_at: Optional[str] = None,
            description: Optional[str] = None,
            failure_reasons: Optional[Sequence[str]] = None,
            knowledge_base_configuration: Optional[AgentKnowledgeBaseKnowledgeBaseConfigurationArgs] = None,
            name: Optional[str] = None,
            role_arn: Optional[str] = None,
            storage_configuration: Optional[AgentKnowledgeBaseStorageConfigurationArgs] = None,
            tags: Optional[Mapping[str, str]] = None,
            tags_all: Optional[Mapping[str, str]] = None,
            timeouts: Optional[AgentKnowledgeBaseTimeoutsArgs] = None,
            updated_at: Optional[str] = None) -> AgentKnowledgeBase
    func GetAgentKnowledgeBase(ctx *Context, name string, id IDInput, state *AgentKnowledgeBaseState, opts ...ResourceOption) (*AgentKnowledgeBase, error)
    public static AgentKnowledgeBase Get(string name, Input<string> id, AgentKnowledgeBaseState? state, CustomResourceOptions? opts = null)
    public static AgentKnowledgeBase get(String name, Output<String> id, AgentKnowledgeBaseState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    Arn string
    ARN of the knowledge base.
    CreatedAt string
    Time at which the knowledge base was created.
    Description string
    Description of the knowledge base.
    FailureReasons List<string>
    KnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfiguration
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    Name string
    Name of the knowledge base.
    RoleArn string
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    StorageConfiguration AgentKnowledgeBaseStorageConfiguration

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    Tags Dictionary<string, string>
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    TagsAll Dictionary<string, string>
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    Timeouts AgentKnowledgeBaseTimeouts
    UpdatedAt string
    Time at which the knowledge base was last updated.
    Arn string
    ARN of the knowledge base.
    CreatedAt string
    Time at which the knowledge base was created.
    Description string
    Description of the knowledge base.
    FailureReasons []string
    KnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfigurationArgs
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    Name string
    Name of the knowledge base.
    RoleArn string
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    StorageConfiguration AgentKnowledgeBaseStorageConfigurationArgs

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    Tags map[string]string
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    TagsAll map[string]string
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    Timeouts AgentKnowledgeBaseTimeoutsArgs
    UpdatedAt string
    Time at which the knowledge base was last updated.
    arn String
    ARN of the knowledge base.
    createdAt String
    Time at which the knowledge base was created.
    description String
    Description of the knowledge base.
    failureReasons List<String>
    knowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfiguration
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name String
    Name of the knowledge base.
    roleArn String
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    storageConfiguration AgentKnowledgeBaseStorageConfiguration

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags Map<String,String>
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll Map<String,String>
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeouts AgentKnowledgeBaseTimeouts
    updatedAt String
    Time at which the knowledge base was last updated.
    arn string
    ARN of the knowledge base.
    createdAt string
    Time at which the knowledge base was created.
    description string
    Description of the knowledge base.
    failureReasons string[]
    knowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfiguration
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name string
    Name of the knowledge base.
    roleArn string
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    storageConfiguration AgentKnowledgeBaseStorageConfiguration

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags {[key: string]: string}
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll {[key: string]: string}
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeouts AgentKnowledgeBaseTimeouts
    updatedAt string
    Time at which the knowledge base was last updated.
    arn str
    ARN of the knowledge base.
    created_at str
    Time at which the knowledge base was created.
    description str
    Description of the knowledge base.
    failure_reasons Sequence[str]
    knowledge_base_configuration AgentKnowledgeBaseKnowledgeBaseConfigurationArgs
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name str
    Name of the knowledge base.
    role_arn str
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    storage_configuration AgentKnowledgeBaseStorageConfigurationArgs

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags Mapping[str, str]
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tags_all Mapping[str, str]
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeouts AgentKnowledgeBaseTimeoutsArgs
    updated_at str
    Time at which the knowledge base was last updated.
    arn String
    ARN of the knowledge base.
    createdAt String
    Time at which the knowledge base was created.
    description String
    Description of the knowledge base.
    failureReasons List<String>
    knowledgeBaseConfiguration Property Map
    Details about the embeddings configuration of the knowledge base. See knowledge_base_configuration block for details.
    name String
    Name of the knowledge base.
    roleArn String
    ARN of the IAM role with permissions to invoke API operations on the knowledge base.
    storageConfiguration Property Map

    Details about the storage configuration of the knowledge base. See storage_configuration block for details.

    The following arguments are optional:

    tags Map<String>
    Map of tags assigned to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll Map<String>
    Map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeouts Property Map
    updatedAt String
    Time at which the knowledge base was last updated.

    Supporting Types

    AgentKnowledgeBaseKnowledgeBaseConfiguration, AgentKnowledgeBaseKnowledgeBaseConfigurationArgs

    Type string
    Type of data that the data source is converted into for the knowledge base. Valid Values: VECTOR.
    VectorKnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfiguration
    Details about the embeddings model that'sused to convert the data source. See vector_knowledge_base_configuration block for details.
    Type string
    Type of data that the data source is converted into for the knowledge base. Valid Values: VECTOR.
    VectorKnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfiguration
    Details about the embeddings model that'sused to convert the data source. See vector_knowledge_base_configuration block for details.
    type String
    Type of data that the data source is converted into for the knowledge base. Valid Values: VECTOR.
    vectorKnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfiguration
    Details about the embeddings model that'sused to convert the data source. See vector_knowledge_base_configuration block for details.
    type string
    Type of data that the data source is converted into for the knowledge base. Valid Values: VECTOR.
    vectorKnowledgeBaseConfiguration AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfiguration
    Details about the embeddings model that'sused to convert the data source. See vector_knowledge_base_configuration block for details.
    type str
    Type of data that the data source is converted into for the knowledge base. Valid Values: VECTOR.
    vector_knowledge_base_configuration AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfiguration
    Details about the embeddings model that'sused to convert the data source. See vector_knowledge_base_configuration block for details.
    type String
    Type of data that the data source is converted into for the knowledge base. Valid Values: VECTOR.
    vectorKnowledgeBaseConfiguration Property Map
    Details about the embeddings model that'sused to convert the data source. See vector_knowledge_base_configuration block for details.

    AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfiguration, AgentKnowledgeBaseKnowledgeBaseConfigurationVectorKnowledgeBaseConfigurationArgs

    EmbeddingModelArn string
    ARN of the model used to create vector embeddings for the knowledge base.
    EmbeddingModelArn string
    ARN of the model used to create vector embeddings for the knowledge base.
    embeddingModelArn String
    ARN of the model used to create vector embeddings for the knowledge base.
    embeddingModelArn string
    ARN of the model used to create vector embeddings for the knowledge base.
    embedding_model_arn str
    ARN of the model used to create vector embeddings for the knowledge base.
    embeddingModelArn String
    ARN of the model used to create vector embeddings for the knowledge base.

    AgentKnowledgeBaseStorageConfiguration, AgentKnowledgeBaseStorageConfigurationArgs

    Type string
    Vector store service in which the knowledge base is stored. Valid Values: OPENSEARCH_SERVERLESS, PINECONE, REDIS_ENTERPRISE_CLOUD, RDS.
    OpensearchServerlessConfiguration AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfiguration
    The storage configuration of the knowledge base in Amazon OpenSearch Service. See opensearch_serverless_configuration block for details.
    PineconeConfiguration AgentKnowledgeBaseStorageConfigurationPineconeConfiguration
    The storage configuration of the knowledge base in Pinecone. See pinecone_configuration block for details.
    RdsConfiguration AgentKnowledgeBaseStorageConfigurationRdsConfiguration
    Details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS. See rds_configuration block for details.
    RedisEnterpriseCloudConfiguration AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfiguration
    The storage configuration of the knowledge base in Redis Enterprise Cloud. See redis_enterprise_cloud_configuration block for details.
    Type string
    Vector store service in which the knowledge base is stored. Valid Values: OPENSEARCH_SERVERLESS, PINECONE, REDIS_ENTERPRISE_CLOUD, RDS.
    OpensearchServerlessConfiguration AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfiguration
    The storage configuration of the knowledge base in Amazon OpenSearch Service. See opensearch_serverless_configuration block for details.
    PineconeConfiguration AgentKnowledgeBaseStorageConfigurationPineconeConfiguration
    The storage configuration of the knowledge base in Pinecone. See pinecone_configuration block for details.
    RdsConfiguration AgentKnowledgeBaseStorageConfigurationRdsConfiguration
    Details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS. See rds_configuration block for details.
    RedisEnterpriseCloudConfiguration AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfiguration
    The storage configuration of the knowledge base in Redis Enterprise Cloud. See redis_enterprise_cloud_configuration block for details.
    type String
    Vector store service in which the knowledge base is stored. Valid Values: OPENSEARCH_SERVERLESS, PINECONE, REDIS_ENTERPRISE_CLOUD, RDS.
    opensearchServerlessConfiguration AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfiguration
    The storage configuration of the knowledge base in Amazon OpenSearch Service. See opensearch_serverless_configuration block for details.
    pineconeConfiguration AgentKnowledgeBaseStorageConfigurationPineconeConfiguration
    The storage configuration of the knowledge base in Pinecone. See pinecone_configuration block for details.
    rdsConfiguration AgentKnowledgeBaseStorageConfigurationRdsConfiguration
    Details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS. See rds_configuration block for details.
    redisEnterpriseCloudConfiguration AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfiguration
    The storage configuration of the knowledge base in Redis Enterprise Cloud. See redis_enterprise_cloud_configuration block for details.
    type string
    Vector store service in which the knowledge base is stored. Valid Values: OPENSEARCH_SERVERLESS, PINECONE, REDIS_ENTERPRISE_CLOUD, RDS.
    opensearchServerlessConfiguration AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfiguration
    The storage configuration of the knowledge base in Amazon OpenSearch Service. See opensearch_serverless_configuration block for details.
    pineconeConfiguration AgentKnowledgeBaseStorageConfigurationPineconeConfiguration
    The storage configuration of the knowledge base in Pinecone. See pinecone_configuration block for details.
    rdsConfiguration AgentKnowledgeBaseStorageConfigurationRdsConfiguration
    Details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS. See rds_configuration block for details.
    redisEnterpriseCloudConfiguration AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfiguration
    The storage configuration of the knowledge base in Redis Enterprise Cloud. See redis_enterprise_cloud_configuration block for details.
    type str
    Vector store service in which the knowledge base is stored. Valid Values: OPENSEARCH_SERVERLESS, PINECONE, REDIS_ENTERPRISE_CLOUD, RDS.
    opensearch_serverless_configuration AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfiguration
    The storage configuration of the knowledge base in Amazon OpenSearch Service. See opensearch_serverless_configuration block for details.
    pinecone_configuration AgentKnowledgeBaseStorageConfigurationPineconeConfiguration
    The storage configuration of the knowledge base in Pinecone. See pinecone_configuration block for details.
    rds_configuration AgentKnowledgeBaseStorageConfigurationRdsConfiguration
    Details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS. See rds_configuration block for details.
    redis_enterprise_cloud_configuration AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfiguration
    The storage configuration of the knowledge base in Redis Enterprise Cloud. See redis_enterprise_cloud_configuration block for details.
    type String
    Vector store service in which the knowledge base is stored. Valid Values: OPENSEARCH_SERVERLESS, PINECONE, REDIS_ENTERPRISE_CLOUD, RDS.
    opensearchServerlessConfiguration Property Map
    The storage configuration of the knowledge base in Amazon OpenSearch Service. See opensearch_serverless_configuration block for details.
    pineconeConfiguration Property Map
    The storage configuration of the knowledge base in Pinecone. See pinecone_configuration block for details.
    rdsConfiguration Property Map
    Details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS. See rds_configuration block for details.
    redisEnterpriseCloudConfiguration Property Map
    The storage configuration of the knowledge base in Redis Enterprise Cloud. See redis_enterprise_cloud_configuration block for details.

    AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfiguration, AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationArgs

    CollectionArn string
    ARN of the OpenSearch Service vector store.
    VectorIndexName string
    Name of the vector store.
    FieldMapping AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    CollectionArn string
    ARN of the OpenSearch Service vector store.
    VectorIndexName string
    Name of the vector store.
    FieldMapping AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    collectionArn String
    ARN of the OpenSearch Service vector store.
    vectorIndexName String
    Name of the vector store.
    fieldMapping AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    collectionArn string
    ARN of the OpenSearch Service vector store.
    vectorIndexName string
    Name of the vector store.
    fieldMapping AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    collection_arn str
    ARN of the OpenSearch Service vector store.
    vector_index_name str
    Name of the vector store.
    field_mapping AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    collectionArn String
    ARN of the OpenSearch Service vector store.
    vectorIndexName String
    Name of the vector store.
    fieldMapping Property Map
    The names of the fields to which to map information about the vector store. This block supports the following arguments:

    AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMapping, AgentKnowledgeBaseStorageConfigurationOpensearchServerlessConfigurationFieldMappingArgs

    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    VectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    VectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField String
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadata_field str
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    text_field str
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vector_field str
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField String
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.

    AgentKnowledgeBaseStorageConfigurationPineconeConfiguration, AgentKnowledgeBaseStorageConfigurationPineconeConfigurationArgs

    ConnectionString string
    Endpoint URL for your index management page.
    CredentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    FieldMapping AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    Namespace string
    Namespace to be used to write new data to your database.
    ConnectionString string
    Endpoint URL for your index management page.
    CredentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    FieldMapping AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    Namespace string
    Namespace to be used to write new data to your database.
    connectionString String
    Endpoint URL for your index management page.
    credentialsSecretArn String
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    fieldMapping AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    namespace String
    Namespace to be used to write new data to your database.
    connectionString string
    Endpoint URL for your index management page.
    credentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    fieldMapping AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    namespace string
    Namespace to be used to write new data to your database.
    connection_string str
    Endpoint URL for your index management page.
    credentials_secret_arn str
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    field_mapping AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    namespace str
    Namespace to be used to write new data to your database.
    connectionString String
    Endpoint URL for your index management page.
    credentialsSecretArn String
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    fieldMapping Property Map
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    namespace String
    Namespace to be used to write new data to your database.

    AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMapping, AgentKnowledgeBaseStorageConfigurationPineconeConfigurationFieldMappingArgs

    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    metadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    metadata_field str
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    text_field str
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.

    AgentKnowledgeBaseStorageConfigurationRdsConfiguration, AgentKnowledgeBaseStorageConfigurationRdsConfigurationArgs

    CredentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    DatabaseName string
    Name of your Amazon RDS database.
    ResourceArn string
    ARN of the vector store.
    TableName string
    Name of the table in the database.
    FieldMapping AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMapping
    Names of the fields to which to map information about the vector store. This block supports the following arguments:
    CredentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    DatabaseName string
    Name of your Amazon RDS database.
    ResourceArn string
    ARN of the vector store.
    TableName string
    Name of the table in the database.
    FieldMapping AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMapping
    Names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentialsSecretArn String
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    databaseName String
    Name of your Amazon RDS database.
    resourceArn String
    ARN of the vector store.
    tableName String
    Name of the table in the database.
    fieldMapping AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMapping
    Names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    databaseName string
    Name of your Amazon RDS database.
    resourceArn string
    ARN of the vector store.
    tableName string
    Name of the table in the database.
    fieldMapping AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMapping
    Names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentials_secret_arn str
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    database_name str
    Name of your Amazon RDS database.
    resource_arn str
    ARN of the vector store.
    table_name str
    Name of the table in the database.
    field_mapping AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMapping
    Names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentialsSecretArn String
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    databaseName String
    Name of your Amazon RDS database.
    resourceArn String
    ARN of the vector store.
    tableName String
    Name of the table in the database.
    fieldMapping Property Map
    Names of the fields to which to map information about the vector store. This block supports the following arguments:

    AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMapping, AgentKnowledgeBaseStorageConfigurationRdsConfigurationFieldMappingArgs

    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    PrimaryKeyField string
    Name of the field in which Amazon Bedrock stores the ID for each entry.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    VectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    PrimaryKeyField string
    Name of the field in which Amazon Bedrock stores the ID for each entry.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    VectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    primaryKeyField String
    Name of the field in which Amazon Bedrock stores the ID for each entry.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField String
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    primaryKeyField string
    Name of the field in which Amazon Bedrock stores the ID for each entry.
    textField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadata_field str
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    primary_key_field str
    Name of the field in which Amazon Bedrock stores the ID for each entry.
    text_field str
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vector_field str
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    primaryKeyField String
    Name of the field in which Amazon Bedrock stores the ID for each entry.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField String
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.

    AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfiguration, AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationArgs

    CredentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Redis Enterprise Cloud database.
    Endpoint string
    Endpoint URL of the Redis Enterprise Cloud database.
    VectorIndexName string
    Name of the vector index.
    FieldMapping AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    CredentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Redis Enterprise Cloud database.
    Endpoint string
    Endpoint URL of the Redis Enterprise Cloud database.
    VectorIndexName string
    Name of the vector index.
    FieldMapping AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentialsSecretArn String
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Redis Enterprise Cloud database.
    endpoint String
    Endpoint URL of the Redis Enterprise Cloud database.
    vectorIndexName String
    Name of the vector index.
    fieldMapping AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentialsSecretArn string
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Redis Enterprise Cloud database.
    endpoint string
    Endpoint URL of the Redis Enterprise Cloud database.
    vectorIndexName string
    Name of the vector index.
    fieldMapping AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentials_secret_arn str
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Redis Enterprise Cloud database.
    endpoint str
    Endpoint URL of the Redis Enterprise Cloud database.
    vector_index_name str
    Name of the vector index.
    field_mapping AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMapping
    The names of the fields to which to map information about the vector store. This block supports the following arguments:
    credentialsSecretArn String
    ARN of the secret that you created in AWS Secrets Manager that is linked to your Redis Enterprise Cloud database.
    endpoint String
    Endpoint URL of the Redis Enterprise Cloud database.
    vectorIndexName String
    Name of the vector index.
    fieldMapping Property Map
    The names of the fields to which to map information about the vector store. This block supports the following arguments:

    AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMapping, AgentKnowledgeBaseStorageConfigurationRedisEnterpriseCloudConfigurationFieldMappingArgs

    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    VectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    MetadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    VectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField String
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField string
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField string
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField string
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadata_field str
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    text_field str
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vector_field str
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    Name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    Name of the field in which Amazon Bedrock stores the raw text from your data. The text is split according to the chunking strategy you choose.
    vectorField String
    Name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.

    AgentKnowledgeBaseTimeouts, AgentKnowledgeBaseTimeoutsArgs

    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).

    Import

    Using pulumi import, import Agents for Amazon Bedrock Knowledge Base using the knowledge base ID. For example:

    $ pulumi import aws:bedrock/agentKnowledgeBase:AgentKnowledgeBase example EMDPPAYPZI
    

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    AWS Classic pulumi/pulumi-aws
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the aws Terraform Provider.
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    AWS Classic v6.37.0 published on Tuesday, May 21, 2024 by Pulumi