pulumi-aws-kotlin/com.pulumi.aws.bedrock.kotlin/AgentKnowledgeBaseArgs

AgentKnowledgeBaseArgs

data class AgentKnowledgeBaseArgs(val description: Output<String>? = null, val knowledgeBaseConfiguration: Output<AgentKnowledgeBaseKnowledgeBaseConfigurationArgs>? = null, val name: Output<String>? = null, val roleArn: Output<String>? = null, val storageConfiguration: Output<AgentKnowledgeBaseStorageConfigurationArgs>? = null, val tags: Output<Map<String, String>>? = null, val timeouts: Output<AgentKnowledgeBaseTimeoutsArgs>? = null) : ConvertibleToJava<AgentKnowledgeBaseArgs>

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 test = new aws.bedrock.AgentKnowledgeBase("test", {
    name: "example",
    roleArn: example.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-2:1234567890:collection/142bezjddq707i5stcrf",
            vectorIndexName: "bedrock-knowledge-base-default-index",
            fieldMapping: {
                vectorField: "bedrock-knowledge-base-default-vector",
                textField: "AMAZON_BEDROCK_TEXT_CHUNK",
                metadataField: "AMAZON_BEDROCK_METADATA",
            },
        },
    },
});
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import pulumi
import pulumi_aws as aws
test = aws.bedrock.AgentKnowledgeBase("test",
    name="example",
    role_arn=example["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-2:1234567890: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",
            ),
        ),
    ))
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
    var test = new Aws.Bedrock.AgentKnowledgeBase("test", new()
    {
        Name = "example",
        RoleArn = example.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-2:1234567890: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",
                },
            },
        },
    });
});
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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, "test", &bedrock.AgentKnowledgeBaseArgs{
			Name:    pulumi.String("example"),
			RoleArn: pulumi.Any(example.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-2:1234567890: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
	})
}
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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 test = new AgentKnowledgeBase("test", AgentKnowledgeBaseArgs.builder()
            .name("example")
            .roleArn(example.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-2:1234567890: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());
    }
}
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resources:
  test:
    type: aws:bedrock:AgentKnowledgeBase
    properties:
      name: example
      roleArn: ${example.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-2:1234567890:collection/142bezjddq707i5stcrf
          vectorIndexName: bedrock-knowledge-base-default-index
          fieldMapping:
            vectorField: bedrock-knowledge-base-default-vector
            textField: AMAZON_BEDROCK_TEXT_CHUNK
            metadataField: AMAZON_BEDROCK_METADATA
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Import

Using pulumi import, import Agents for Amazon Bedrock Knowledge Base using the Q1IYMH6GQG. For example:

$ pulumi import aws:bedrock/agentKnowledgeBase:AgentKnowledgeBase example Q1IYMH6GQG
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Constructors

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fun AgentKnowledgeBaseArgs(description: Output<String>? = null, knowledgeBaseConfiguration: Output<AgentKnowledgeBaseKnowledgeBaseConfigurationArgs>? = null, name: Output<String>? = null, roleArn: Output<String>? = null, storageConfiguration: Output<AgentKnowledgeBaseStorageConfigurationArgs>? = null, tags: Output<Map<String, String>>? = null, timeouts: Output<AgentKnowledgeBaseTimeoutsArgs>? = null)

Functions

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open override fun toJava(): AgentKnowledgeBaseArgs

Properties

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val description: Output<String>? = null

A description of the knowledge base.

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val knowledgeBaseConfiguration: Output<AgentKnowledgeBaseKnowledgeBaseConfigurationArgs>? = null

Contains details about the embeddings model used for the knowledge base.

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val name: Output<String>? = null

A name for the knowledge base.

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val roleArn: Output<String>? = null

The ARN of the IAM role with permissions to create the knowledge base.

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val storageConfiguration: Output<AgentKnowledgeBaseStorageConfigurationArgs>? = null

Contains details about the configuration of the vector database used for the knowledge base.

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val tags: Output<Map<String, String>>? = null

A map of tags to assign 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.

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