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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.aws.bedrock.kotlin
import com.pulumi.aws.bedrock.AgentKnowledgeBaseArgs.builder
import com.pulumi.aws.bedrock.kotlin.inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationArgs
import com.pulumi.aws.bedrock.kotlin.inputs.AgentKnowledgeBaseKnowledgeBaseConfigurationArgsBuilder
import com.pulumi.aws.bedrock.kotlin.inputs.AgentKnowledgeBaseStorageConfigurationArgs
import com.pulumi.aws.bedrock.kotlin.inputs.AgentKnowledgeBaseStorageConfigurationArgsBuilder
import com.pulumi.aws.bedrock.kotlin.inputs.AgentKnowledgeBaseTimeoutsArgs
import com.pulumi.aws.bedrock.kotlin.inputs.AgentKnowledgeBaseTimeoutsArgsBuilder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Pair
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
import kotlin.jvm.JvmName
/**
* Resource for managing an AWS Agents for Amazon Bedrock Knowledge Base.
* ## Example Usage
*
* ```typescript
* 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",
* },
* },
* },
* });
* ```
* ```python
* import pulumi
* import pulumi_aws as aws
* example = aws.bedrock.AgentKnowledgeBase("example",
* name="example",
* role_arn=example_aws_iam_role["arn"],
* knowledge_base_configuration={
* "vector_knowledge_base_configuration": {
* "embedding_model_arn": "arn:aws:bedrock:us-west-2::foundation-model/amazon.titan-embed-text-v1",
* },
* "type": "VECTOR",
* },
* storage_configuration={
* "type": "OPENSEARCH_SERVERLESS",
* "opensearch_serverless_configuration": {
* "collection_arn": "arn:aws:aoss:us-west-2:123456789012:collection/142bezjddq707i5stcrf",
* "vector_index_name": "bedrock-knowledge-base-default-index",
* "field_mapping": {
* "vector_field": "bedrock-knowledge-base-default-vector",
* "text_field": "AMAZON_BEDROCK_TEXT_CHUNK",
* "metadata_field": "AMAZON_BEDROCK_METADATA",
* },
* },
* })
* ```
* ```csharp
* 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",
* },
* },
* },
* });
* });
* ```
* ```go
* 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
* })
* }
* ```
* ```java
* 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());
* }
* }
* ```
* ```yaml
* 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
* ```
*
* ## Import
* Using `pulumi import`, import Agents for Amazon Bedrock Knowledge Base using the knowledge base ID. For example:
* ```sh
* $ pulumi import aws:bedrock/agentKnowledgeBase:AgentKnowledgeBase example EMDPPAYPZI
* ```
* @property description Description of the knowledge base.
* @property knowledgeBaseConfiguration Details about the embeddings configuration of the knowledge base. See `knowledge_base_configuration` block for details.
* @property name Name of the knowledge base.
* @property roleArn ARN of the IAM role with permissions to invoke API operations on the knowledge base.
* @property storageConfiguration Details about the storage configuration of the knowledge base. See `storage_configuration` block for details.
* The following arguments are optional:
* @property tags 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.
* @property timeouts
*/
public data class AgentKnowledgeBaseArgs(
public val description: Output? = null,
public val knowledgeBaseConfiguration: Output? =
null,
public val name: Output? = null,
public val roleArn: Output? = null,
public val storageConfiguration: Output? = null,
public val tags: Output
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