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AWS Cloud Control v1.24.0 published on Wednesday, Jan 15, 2025 by Pulumi
pulumi/pulumi-aws-native

aws-native.bedrock.KnowledgeBase

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We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.24.0 published on Wednesday, Jan 15, 2025 by Pulumi
pulumi/pulumi-aws-native

    Definition of AWS::Bedrock::KnowledgeBase Resource Type

    Create KnowledgeBase Resource

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

    Constructor syntax

    new KnowledgeBase(name: string, args: KnowledgeBaseArgs, opts?: CustomResourceOptions);
    @overload
def KnowledgeBase(resource_name: str,
                  args: KnowledgeBaseArgs,
                  opts: Optional[ResourceOptions] = None)

@overload
def KnowledgeBase(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  knowledge_base_configuration: Optional[KnowledgeBaseConfigurationArgs] = None,
                  role_arn: Optional[str] = None,
                  description: Optional[str] = None,
                  name: Optional[str] = None,
                  storage_configuration: Optional[KnowledgeBaseStorageConfigurationArgs] = None,
                  tags: Optional[Mapping[str, str]] = None)
    func NewKnowledgeBase(ctx *Context, name string, args KnowledgeBaseArgs, opts ...ResourceOption) (*KnowledgeBase, error)
    public KnowledgeBase(string name, KnowledgeBaseArgs args, CustomResourceOptions? opts = null)
    public KnowledgeBase(String name, KnowledgeBaseArgs args)
public KnowledgeBase(String name, KnowledgeBaseArgs args, CustomResourceOptions options)

    type: aws-native:bedrock:KnowledgeBase
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 KnowledgeBaseArgs
    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 KnowledgeBaseArgs
    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 KnowledgeBaseArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args KnowledgeBaseArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args KnowledgeBaseArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    KnowledgeBase Resource Properties

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

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The KnowledgeBase resource accepts the following input properties:

    KnowledgeBaseConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseConfiguration
    Contains details about the embeddings configuration of the knowledge base.
    RoleArn string
    The ARN of the IAM role with permissions to invoke API operations on the knowledge base. The ARN must begin with AmazonBedrockExecutionRoleForKnowledgeBase_
    Description string
    Description of the Resource.
    Name string
    The name of the knowledge base.
    StorageConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseStorageConfiguration
    Contains details about the storage configuration of the knowledge base.
    Tags Dictionary<string, string>
    Metadata that you can assign to a resource as key-value pairs. For more information, see the following resources:

    KnowledgeBaseConfiguration KnowledgeBaseConfigurationArgs
    Contains details about the embeddings configuration of the knowledge base.
    RoleArn string
    The ARN of the IAM role with permissions to invoke API operations on the knowledge base. The ARN must begin with AmazonBedrockExecutionRoleForKnowledgeBase_
    Description string
    Description of the Resource.
    Name string
    The name of the knowledge base.
    StorageConfiguration KnowledgeBaseStorageConfigurationArgs
    Contains details about the storage configuration of the knowledge base.
    Tags map[string]string
    Metadata that you can assign to a resource as key-value pairs. For more information, see the following resources:

    knowledgeBaseConfiguration KnowledgeBaseConfiguration
    Contains details about the embeddings configuration of the knowledge base.
    roleArn String
    The ARN of the IAM role with permissions to invoke API operations on the knowledge base. The ARN must begin with AmazonBedrockExecutionRoleForKnowledgeBase_
    description String
    Description of the Resource.
    name String
    The name of the knowledge base.
    storageConfiguration KnowledgeBaseStorageConfiguration
    Contains details about the storage configuration of the knowledge base.
    tags Map<String,String>
    Metadata that you can assign to a resource as key-value pairs. For more information, see the following resources:

    knowledgeBaseConfiguration KnowledgeBaseConfiguration
    Contains details about the embeddings configuration of the knowledge base.
    roleArn string
    The ARN of the IAM role with permissions to invoke API operations on the knowledge base. The ARN must begin with AmazonBedrockExecutionRoleForKnowledgeBase_
    description string
    Description of the Resource.
    name string
    The name of the knowledge base.
    storageConfiguration KnowledgeBaseStorageConfiguration
    Contains details about the storage configuration of the knowledge base.
    tags {[key: string]: string}
    Metadata that you can assign to a resource as key-value pairs. For more information, see the following resources:

    knowledge_base_configuration KnowledgeBaseConfigurationArgs
    Contains details about the embeddings configuration of the knowledge base.
    role_arn str
    The ARN of the IAM role with permissions to invoke API operations on the knowledge base. The ARN must begin with AmazonBedrockExecutionRoleForKnowledgeBase_
    description str
    Description of the Resource.
    name str
    The name of the knowledge base.
    storage_configuration KnowledgeBaseStorageConfigurationArgs
    Contains details about the storage configuration of the knowledge base.
    tags Mapping[str, str]
    Metadata that you can assign to a resource as key-value pairs. For more information, see the following resources:

    knowledgeBaseConfiguration Property Map
    Contains details about the embeddings configuration of the knowledge base.
    roleArn String
    The ARN of the IAM role with permissions to invoke API operations on the knowledge base. The ARN must begin with AmazonBedrockExecutionRoleForKnowledgeBase_
    description String
    Description of the Resource.
    name String
    The name of the knowledge base.
    storageConfiguration Property Map
    Contains details about the storage configuration of the knowledge base.
    tags Map<String>
    Metadata that you can assign to a resource as key-value pairs. For more information, see the following resources:

    Outputs

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

    CreatedAt string
    The time at which the knowledge base was created.
    FailureReasons List<string>
    A list of reasons that the API operation on the knowledge base failed.
    Id string
    The provider-assigned unique ID for this managed resource.
    KnowledgeBaseArn string
    The ARN of the knowledge base.
    KnowledgeBaseId string
    The unique identifier of the knowledge base.
    Status Pulumi.AwsNative.Bedrock.KnowledgeBaseStatus
    The status of the knowledge base.
    UpdatedAt string
    The time at which the knowledge base was last updated.
    CreatedAt string
    The time at which the knowledge base was created.
    FailureReasons []string
    A list of reasons that the API operation on the knowledge base failed.
    Id string
    The provider-assigned unique ID for this managed resource.
    KnowledgeBaseArn string
    The ARN of the knowledge base.
    KnowledgeBaseId string
    The unique identifier of the knowledge base.
    Status KnowledgeBaseStatus
    The status of the knowledge base.
    UpdatedAt string
    The time at which the knowledge base was last updated.
    createdAt String
    The time at which the knowledge base was created.
    failureReasons List<String>
    A list of reasons that the API operation on the knowledge base failed.
    id String
    The provider-assigned unique ID for this managed resource.
    knowledgeBaseArn String
    The ARN of the knowledge base.
    knowledgeBaseId String
    The unique identifier of the knowledge base.
    status KnowledgeBaseStatus
    The status of the knowledge base.
    updatedAt String
    The time at which the knowledge base was last updated.
    createdAt string
    The time at which the knowledge base was created.
    failureReasons string[]
    A list of reasons that the API operation on the knowledge base failed.
    id string
    The provider-assigned unique ID for this managed resource.
    knowledgeBaseArn string
    The ARN of the knowledge base.
    knowledgeBaseId string
    The unique identifier of the knowledge base.
    status KnowledgeBaseStatus
    The status of the knowledge base.
    updatedAt string
    The time at which the knowledge base was last updated.
    created_at str
    The time at which the knowledge base was created.
    failure_reasons Sequence[str]
    A list of reasons that the API operation on the knowledge base failed.
    id str
    The provider-assigned unique ID for this managed resource.
    knowledge_base_arn str
    The ARN of the knowledge base.
    knowledge_base_id str
    The unique identifier of the knowledge base.
    status KnowledgeBaseStatus
    The status of the knowledge base.
    updated_at str
    The time at which the knowledge base was last updated.
    createdAt String
    The time at which the knowledge base was created.
    failureReasons List<String>
    A list of reasons that the API operation on the knowledge base failed.
    id String
    The provider-assigned unique ID for this managed resource.
    knowledgeBaseArn String
    The ARN of the knowledge base.
    knowledgeBaseId String
    The unique identifier of the knowledge base.
    status "CREATING" | "ACTIVE" | "DELETING" | "UPDATING" | "FAILED" | "DELETE_UNSUCCESSFUL"
    The status of the knowledge base.
    updatedAt String
    The time at which the knowledge base was last updated.

    Supporting Types

    KnowledgeBaseBedrockEmbeddingModelConfiguration, KnowledgeBaseBedrockEmbeddingModelConfigurationArgs

    Dimensions int
    The dimensions details for the vector configuration used on the Bedrock embeddings model.
    Dimensions int
    The dimensions details for the vector configuration used on the Bedrock embeddings model.
    dimensions Integer
    The dimensions details for the vector configuration used on the Bedrock embeddings model.
    dimensions number
    The dimensions details for the vector configuration used on the Bedrock embeddings model.
    dimensions int
    The dimensions details for the vector configuration used on the Bedrock embeddings model.
    dimensions Number
    The dimensions details for the vector configuration used on the Bedrock embeddings model.

    KnowledgeBaseConfiguration, KnowledgeBaseConfigurationArgs

    Type KnowledgeBaseType
    The type of data that the data source is converted into for the knowledge base.
    KendraKnowledgeBaseConfiguration KnowledgeBaseKendraKnowledgeBaseConfiguration
    Settings for an Amazon Kendra knowledge base.
    SqlKnowledgeBaseConfiguration KnowledgeBaseSqlKnowledgeBaseConfiguration
    VectorKnowledgeBaseConfiguration KnowledgeBaseVectorKnowledgeBaseConfiguration
    Contains details about the model that's used to convert the data source into vector embeddings.
    type KnowledgeBaseType
    The type of data that the data source is converted into for the knowledge base.
    kendraKnowledgeBaseConfiguration KnowledgeBaseKendraKnowledgeBaseConfiguration
    Settings for an Amazon Kendra knowledge base.
    sqlKnowledgeBaseConfiguration KnowledgeBaseSqlKnowledgeBaseConfiguration
    vectorKnowledgeBaseConfiguration KnowledgeBaseVectorKnowledgeBaseConfiguration
    Contains details about the model that's used to convert the data source into vector embeddings.
    type KnowledgeBaseType
    The type of data that the data source is converted into for the knowledge base.
    kendraKnowledgeBaseConfiguration KnowledgeBaseKendraKnowledgeBaseConfiguration
    Settings for an Amazon Kendra knowledge base.
    sqlKnowledgeBaseConfiguration KnowledgeBaseSqlKnowledgeBaseConfiguration
    vectorKnowledgeBaseConfiguration KnowledgeBaseVectorKnowledgeBaseConfiguration
    Contains details about the model that's used to convert the data source into vector embeddings.
    type KnowledgeBaseType
    The type of data that the data source is converted into for the knowledge base.
    kendra_knowledge_base_configuration KnowledgeBaseKendraKnowledgeBaseConfiguration
    Settings for an Amazon Kendra knowledge base.
    sql_knowledge_base_configuration KnowledgeBaseSqlKnowledgeBaseConfiguration
    vector_knowledge_base_configuration KnowledgeBaseVectorKnowledgeBaseConfiguration
    Contains details about the model that's used to convert the data source into vector embeddings.
    type "VECTOR" | "KENDRA" | "SQL"
    The type of data that the data source is converted into for the knowledge base.
    kendraKnowledgeBaseConfiguration Property Map
    Settings for an Amazon Kendra knowledge base.
    sqlKnowledgeBaseConfiguration Property Map
    vectorKnowledgeBaseConfiguration Property Map
    Contains details about the model that's used to convert the data source into vector embeddings.

    KnowledgeBaseCuratedQuery, KnowledgeBaseCuratedQueryArgs

    NaturalLanguage string
    Sql string
    NaturalLanguage string
    Sql string
    naturalLanguage String
    sql String
    naturalLanguage string
    sql string
    naturalLanguage String
    sql String

    KnowledgeBaseEmbeddingModelConfiguration, KnowledgeBaseEmbeddingModelConfigurationArgs

    BedrockEmbeddingModelConfiguration KnowledgeBaseBedrockEmbeddingModelConfiguration
    The vector configuration details on the Bedrock embeddings model.
    bedrockEmbeddingModelConfiguration KnowledgeBaseBedrockEmbeddingModelConfiguration
    The vector configuration details on the Bedrock embeddings model.
    bedrockEmbeddingModelConfiguration KnowledgeBaseBedrockEmbeddingModelConfiguration
    The vector configuration details on the Bedrock embeddings model.
    bedrock_embedding_model_configuration KnowledgeBaseBedrockEmbeddingModelConfiguration
    The vector configuration details on the Bedrock embeddings model.
    bedrockEmbeddingModelConfiguration Property Map
    The vector configuration details on the Bedrock embeddings model.

    KnowledgeBaseInclusionType, KnowledgeBaseInclusionTypeArgs

    Include
    INCLUDE
    Exclude
    EXCLUDE
    KnowledgeBaseInclusionTypeInclude
    INCLUDE
    KnowledgeBaseInclusionTypeExclude
    EXCLUDE
    Include
    INCLUDE
    Exclude
    EXCLUDE
    Include
    INCLUDE
    Exclude
    EXCLUDE
    INCLUDE
    INCLUDE
    EXCLUDE
    EXCLUDE
    "INCLUDE"
    INCLUDE
    "EXCLUDE"
    EXCLUDE

    KnowledgeBaseKendraKnowledgeBaseConfiguration, KnowledgeBaseKendraKnowledgeBaseConfigurationArgs

    KendraIndexArn string
    The ARN of the Amazon Kendra index.
    KendraIndexArn string
    The ARN of the Amazon Kendra index.
    kendraIndexArn String
    The ARN of the Amazon Kendra index.
    kendraIndexArn string
    The ARN of the Amazon Kendra index.
    kendra_index_arn str
    The ARN of the Amazon Kendra index.
    kendraIndexArn String
    The ARN of the Amazon Kendra index.

    KnowledgeBaseMongoDbAtlasConfiguration, KnowledgeBaseMongoDbAtlasConfigurationArgs

    CollectionName string
    Name of the collection within MongoDB Atlas.
    CredentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon Mongo database.
    DatabaseName string
    Name of the database within MongoDB Atlas.
    Endpoint string
    MongoDB Atlas endpoint.
    FieldMapping Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseMongoDbAtlasFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    VectorIndexName string
    Name of a MongoDB Atlas index.
    EndpointServiceName string
    MongoDB Atlas endpoint service name.
    CollectionName string
    Name of the collection within MongoDB Atlas.
    CredentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon Mongo database.
    DatabaseName string
    Name of the database within MongoDB Atlas.
    Endpoint string
    MongoDB Atlas endpoint.
    FieldMapping KnowledgeBaseMongoDbAtlasFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    VectorIndexName string
    Name of a MongoDB Atlas index.
    EndpointServiceName string
    MongoDB Atlas endpoint service name.
    collectionName String
    Name of the collection within MongoDB Atlas.
    credentialsSecretArn String
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon Mongo database.
    databaseName String
    Name of the database within MongoDB Atlas.
    endpoint String
    MongoDB Atlas endpoint.
    fieldMapping KnowledgeBaseMongoDbAtlasFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    vectorIndexName String
    Name of a MongoDB Atlas index.
    endpointServiceName String
    MongoDB Atlas endpoint service name.
    collectionName string
    Name of the collection within MongoDB Atlas.
    credentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon Mongo database.
    databaseName string
    Name of the database within MongoDB Atlas.
    endpoint string
    MongoDB Atlas endpoint.
    fieldMapping KnowledgeBaseMongoDbAtlasFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    vectorIndexName string
    Name of a MongoDB Atlas index.
    endpointServiceName string
    MongoDB Atlas endpoint service name.
    collection_name str
    Name of the collection within MongoDB Atlas.
    credentials_secret_arn str
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon Mongo database.
    database_name str
    Name of the database within MongoDB Atlas.
    endpoint str
    MongoDB Atlas endpoint.
    field_mapping KnowledgeBaseMongoDbAtlasFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    vector_index_name str
    Name of a MongoDB Atlas index.
    endpoint_service_name str
    MongoDB Atlas endpoint service name.
    collectionName String
    Name of the collection within MongoDB Atlas.
    credentialsSecretArn String
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon Mongo database.
    databaseName String
    Name of the database within MongoDB Atlas.
    endpoint String
    MongoDB Atlas endpoint.
    fieldMapping Property Map
    Contains the names of the fields to which to map information about the vector store.
    vectorIndexName String
    Name of a MongoDB Atlas index.
    endpointServiceName String
    MongoDB Atlas endpoint service name.

    KnowledgeBaseMongoDbAtlasFieldMapping, KnowledgeBaseMongoDbAtlasFieldMappingArgs

    MetadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    MetadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadata_field str
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    text_field str
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.

    KnowledgeBaseOpenSearchServerlessConfiguration, KnowledgeBaseOpenSearchServerlessConfigurationArgs

    CollectionArn string
    The ARN of the OpenSearch Service vector store.
    FieldMapping Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseOpenSearchServerlessFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    VectorIndexName string
    The name of the vector store.
    CollectionArn string
    The ARN of the OpenSearch Service vector store.
    FieldMapping KnowledgeBaseOpenSearchServerlessFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    VectorIndexName string
    The name of the vector store.
    collectionArn String
    The ARN of the OpenSearch Service vector store.
    fieldMapping KnowledgeBaseOpenSearchServerlessFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    vectorIndexName String
    The name of the vector store.
    collectionArn string
    The ARN of the OpenSearch Service vector store.
    fieldMapping KnowledgeBaseOpenSearchServerlessFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    vectorIndexName string
    The name of the vector store.
    collection_arn str
    The ARN of the OpenSearch Service vector store.
    field_mapping KnowledgeBaseOpenSearchServerlessFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    vector_index_name str
    The name of the vector store.
    collectionArn String
    The ARN of the OpenSearch Service vector store.
    fieldMapping Property Map
    Contains the names of the fields to which to map information about the vector store.
    vectorIndexName String
    The name of the vector store.

    KnowledgeBaseOpenSearchServerlessFieldMapping, KnowledgeBaseOpenSearchServerlessFieldMappingArgs

    MetadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    MetadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadata_field str
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    text_field str
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.

    KnowledgeBasePineconeConfiguration, KnowledgeBasePineconeConfigurationArgs

    ConnectionString string
    The endpoint URL for your index management page.
    CredentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    FieldMapping Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBasePineconeFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    Namespace string
    The namespace to be used to write new data to your database.
    ConnectionString string
    The endpoint URL for your index management page.
    CredentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    FieldMapping KnowledgeBasePineconeFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    Namespace string
    The namespace to be used to write new data to your database.
    connectionString String
    The endpoint URL for your index management page.
    credentialsSecretArn String
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    fieldMapping KnowledgeBasePineconeFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    namespace String
    The namespace to be used to write new data to your database.
    connectionString string
    The endpoint URL for your index management page.
    credentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    fieldMapping KnowledgeBasePineconeFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    namespace string
    The namespace to be used to write new data to your database.
    connection_string str
    The endpoint URL for your index management page.
    credentials_secret_arn str
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    field_mapping KnowledgeBasePineconeFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    namespace str
    The namespace to be used to write new data to your database.
    connectionString String
    The endpoint URL for your index management page.
    credentialsSecretArn String
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Pinecone API key.
    fieldMapping Property Map
    Contains the names of the fields to which to map information about the vector store.
    namespace String
    The namespace to be used to write new data to your database.

    KnowledgeBasePineconeFieldMapping, KnowledgeBasePineconeFieldMappingArgs

    MetadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    The 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
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField string
    The 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
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    text_field str
    The 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
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    textField String
    The 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.

    KnowledgeBaseQueryEngineType, KnowledgeBaseQueryEngineTypeArgs

    Redshift
    REDSHIFT
    KnowledgeBaseQueryEngineTypeRedshift
    REDSHIFT
    Redshift
    REDSHIFT
    Redshift
    REDSHIFT
    REDSHIFT
    REDSHIFT
    "REDSHIFT"
    REDSHIFT

    KnowledgeBaseQueryGenerationColumn, KnowledgeBaseQueryGenerationColumnArgs

    KnowledgeBaseQueryGenerationConfiguration, KnowledgeBaseQueryGenerationConfigurationArgs

    KnowledgeBaseQueryGenerationContext, KnowledgeBaseQueryGenerationContextArgs

    KnowledgeBaseQueryGenerationTable, KnowledgeBaseQueryGenerationTableArgs

    KnowledgeBaseRdsConfiguration, KnowledgeBaseRdsConfigurationArgs

    CredentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    DatabaseName string
    The name of your Amazon RDS database.
    FieldMapping Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseRdsFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    ResourceArn string
    The ARN of the vector store.
    TableName string
    The name of the table in the database.
    CredentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    DatabaseName string
    The name of your Amazon RDS database.
    FieldMapping KnowledgeBaseRdsFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    ResourceArn string
    The ARN of the vector store.
    TableName string
    The name of the table in the database.
    credentialsSecretArn String
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    databaseName String
    The name of your Amazon RDS database.
    fieldMapping KnowledgeBaseRdsFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    resourceArn String
    The ARN of the vector store.
    tableName String
    The name of the table in the database.
    credentialsSecretArn string
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    databaseName string
    The name of your Amazon RDS database.
    fieldMapping KnowledgeBaseRdsFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    resourceArn string
    The ARN of the vector store.
    tableName string
    The name of the table in the database.
    credentials_secret_arn str
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    database_name str
    The name of your Amazon RDS database.
    field_mapping KnowledgeBaseRdsFieldMapping
    Contains the names of the fields to which to map information about the vector store.
    resource_arn str
    The ARN of the vector store.
    table_name str
    The name of the table in the database.
    credentialsSecretArn String
    The ARN of the secret that you created in AWS Secrets Manager that is linked to your Amazon RDS database.
    databaseName String
    The name of your Amazon RDS database.
    fieldMapping Property Map
    Contains the names of the fields to which to map information about the vector store.
    resourceArn String
    The ARN of the vector store.
    tableName String
    The name of the table in the database.

    KnowledgeBaseRdsFieldMapping, KnowledgeBaseRdsFieldMappingArgs

    MetadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    PrimaryKeyField string
    The name of the field in which Amazon Bedrock stores the ID for each entry.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    MetadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    PrimaryKeyField string
    The name of the field in which Amazon Bedrock stores the ID for each entry.
    TextField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    primaryKeyField String
    The name of the field in which Amazon Bedrock stores the ID for each entry.
    textField String
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField string
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    primaryKeyField string
    The name of the field in which Amazon Bedrock stores the ID for each entry.
    textField string
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadata_field str
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    primary_key_field str
    The name of the field in which Amazon Bedrock stores the ID for each entry.
    text_field str
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.
    metadataField String
    The name of the field in which Amazon Bedrock stores metadata about the vector store.
    primaryKeyField String
    The name of the field in which Amazon Bedrock stores the ID for each entry.
    textField String
    The 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
    The name of the field in which Amazon Bedrock stores the vector embeddings for your data sources.

    KnowledgeBaseRedshiftConfiguration, KnowledgeBaseRedshiftConfigurationArgs

    KnowledgeBaseRedshiftProvisionedAuthConfiguration, KnowledgeBaseRedshiftProvisionedAuthConfigurationArgs

    KnowledgeBaseRedshiftProvisionedAuthType, KnowledgeBaseRedshiftProvisionedAuthTypeArgs

    Iam
    IAM
    UsernamePassword
    USERNAME_PASSWORD
    Username
    USERNAME
    KnowledgeBaseRedshiftProvisionedAuthTypeIam
    IAM
    KnowledgeBaseRedshiftProvisionedAuthTypeUsernamePassword
    USERNAME_PASSWORD
    KnowledgeBaseRedshiftProvisionedAuthTypeUsername
    USERNAME
    Iam
    IAM
    UsernamePassword
    USERNAME_PASSWORD
    Username
    USERNAME
    Iam
    IAM
    UsernamePassword
    USERNAME_PASSWORD
    Username
    USERNAME
    IAM
    IAM
    USERNAME_PASSWORD
    USERNAME_PASSWORD
    USERNAME
    USERNAME
    "IAM"
    IAM
    "USERNAME_PASSWORD"
    USERNAME_PASSWORD
    "USERNAME"
    USERNAME

    KnowledgeBaseRedshiftProvisionedConfiguration, KnowledgeBaseRedshiftProvisionedConfigurationArgs

    KnowledgeBaseRedshiftQueryEngineAwsDataCatalogStorageConfiguration, KnowledgeBaseRedshiftQueryEngineAwsDataCatalogStorageConfigurationArgs

    TableNames List<string>
    TableNames []string
    tableNames List<String>
    tableNames string[]
    table_names Sequence[str]
    tableNames List<String>

    KnowledgeBaseRedshiftQueryEngineConfiguration, KnowledgeBaseRedshiftQueryEngineConfigurationArgs

    KnowledgeBaseRedshiftQueryEngineRedshiftStorageConfiguration, KnowledgeBaseRedshiftQueryEngineRedshiftStorageConfigurationArgs

    KnowledgeBaseRedshiftQueryEngineStorageConfiguration, KnowledgeBaseRedshiftQueryEngineStorageConfigurationArgs

    KnowledgeBaseRedshiftQueryEngineStorageType, KnowledgeBaseRedshiftQueryEngineStorageTypeArgs

    Redshift
    REDSHIFT
    AwsDataCatalog
    AWS_DATA_CATALOG
    KnowledgeBaseRedshiftQueryEngineStorageTypeRedshift
    REDSHIFT
    KnowledgeBaseRedshiftQueryEngineStorageTypeAwsDataCatalog
    AWS_DATA_CATALOG
    Redshift
    REDSHIFT
    AwsDataCatalog
    AWS_DATA_CATALOG
    Redshift
    REDSHIFT
    AwsDataCatalog
    AWS_DATA_CATALOG
    REDSHIFT
    REDSHIFT
    AWS_DATA_CATALOG
    AWS_DATA_CATALOG
    "REDSHIFT"
    REDSHIFT
    "AWS_DATA_CATALOG"
    AWS_DATA_CATALOG

    KnowledgeBaseRedshiftQueryEngineType, KnowledgeBaseRedshiftQueryEngineTypeArgs

    Serverless
    SERVERLESS
    Provisioned
    PROVISIONED
    KnowledgeBaseRedshiftQueryEngineTypeServerless
    SERVERLESS
    KnowledgeBaseRedshiftQueryEngineTypeProvisioned
    PROVISIONED
    Serverless
    SERVERLESS
    Provisioned
    PROVISIONED
    Serverless
    SERVERLESS
    Provisioned
    PROVISIONED
    SERVERLESS
    SERVERLESS
    PROVISIONED
    PROVISIONED
    "SERVERLESS"
    SERVERLESS
    "PROVISIONED"
    PROVISIONED

    KnowledgeBaseRedshiftServerlessAuthConfiguration, KnowledgeBaseRedshiftServerlessAuthConfigurationArgs

    KnowledgeBaseRedshiftServerlessAuthType, KnowledgeBaseRedshiftServerlessAuthTypeArgs

    Iam
    IAM
    UsernamePassword
    USERNAME_PASSWORD
    KnowledgeBaseRedshiftServerlessAuthTypeIam
    IAM
    KnowledgeBaseRedshiftServerlessAuthTypeUsernamePassword
    USERNAME_PASSWORD
    Iam
    IAM
    UsernamePassword
    USERNAME_PASSWORD
    Iam
    IAM
    UsernamePassword
    USERNAME_PASSWORD
    IAM
    IAM
    USERNAME_PASSWORD
    USERNAME_PASSWORD
    "IAM"
    IAM
    "USERNAME_PASSWORD"
    USERNAME_PASSWORD

    KnowledgeBaseRedshiftServerlessConfiguration, KnowledgeBaseRedshiftServerlessConfigurationArgs

    KnowledgeBaseS3Location, KnowledgeBaseS3LocationArgs

    Uri string
    The location's URI
    Uri string
    The location's URI
    uri String
    The location's URI
    uri string
    The location's URI
    uri str
    The location's URI
    uri String
    The location's URI

    KnowledgeBaseSqlKnowledgeBaseConfiguration, KnowledgeBaseSqlKnowledgeBaseConfigurationArgs

    KnowledgeBaseStatus, KnowledgeBaseStatusArgs

    Creating
    CREATING
    Active
    ACTIVE
    Deleting
    DELETING
    Updating
    UPDATING
    Failed
    FAILED
    DeleteUnsuccessful
    DELETE_UNSUCCESSFUL
    KnowledgeBaseStatusCreating
    CREATING
    KnowledgeBaseStatusActive
    ACTIVE
    KnowledgeBaseStatusDeleting
    DELETING
    KnowledgeBaseStatusUpdating
    UPDATING
    KnowledgeBaseStatusFailed
    FAILED
    KnowledgeBaseStatusDeleteUnsuccessful
    DELETE_UNSUCCESSFUL
    Creating
    CREATING
    Active
    ACTIVE
    Deleting
    DELETING
    Updating
    UPDATING
    Failed
    FAILED
    DeleteUnsuccessful
    DELETE_UNSUCCESSFUL
    Creating
    CREATING
    Active
    ACTIVE
    Deleting
    DELETING
    Updating
    UPDATING
    Failed
    FAILED
    DeleteUnsuccessful
    DELETE_UNSUCCESSFUL
    CREATING
    CREATING
    ACTIVE
    ACTIVE
    DELETING
    DELETING
    UPDATING
    UPDATING
    FAILED
    FAILED
    DELETE_UNSUCCESSFUL
    DELETE_UNSUCCESSFUL
    "CREATING"
    CREATING
    "ACTIVE"
    ACTIVE
    "DELETING"
    DELETING
    "UPDATING"
    UPDATING
    "FAILED"
    FAILED
    "DELETE_UNSUCCESSFUL"
    DELETE_UNSUCCESSFUL

    KnowledgeBaseStorageConfiguration, KnowledgeBaseStorageConfigurationArgs

    Type Pulumi.AwsNative.Bedrock.KnowledgeBaseStorageType
    The vector store service in which the knowledge base is stored.
    MongoDbAtlasConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseMongoDbAtlasConfiguration
    Contains the storage configuration of the knowledge base in MongoDB Atlas.
    OpensearchServerlessConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseOpenSearchServerlessConfiguration
    Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
    PineconeConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBasePineconeConfiguration
    Contains the storage configuration of the knowledge base in Pinecone.
    RdsConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseRdsConfiguration
    Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS .
    Type KnowledgeBaseStorageType
    The vector store service in which the knowledge base is stored.
    MongoDbAtlasConfiguration KnowledgeBaseMongoDbAtlasConfiguration
    Contains the storage configuration of the knowledge base in MongoDB Atlas.
    OpensearchServerlessConfiguration KnowledgeBaseOpenSearchServerlessConfiguration
    Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
    PineconeConfiguration KnowledgeBasePineconeConfiguration
    Contains the storage configuration of the knowledge base in Pinecone.
    RdsConfiguration KnowledgeBaseRdsConfiguration
    Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS .
    type KnowledgeBaseStorageType
    The vector store service in which the knowledge base is stored.
    mongoDbAtlasConfiguration KnowledgeBaseMongoDbAtlasConfiguration
    Contains the storage configuration of the knowledge base in MongoDB Atlas.
    opensearchServerlessConfiguration KnowledgeBaseOpenSearchServerlessConfiguration
    Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
    pineconeConfiguration KnowledgeBasePineconeConfiguration
    Contains the storage configuration of the knowledge base in Pinecone.
    rdsConfiguration KnowledgeBaseRdsConfiguration
    Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS .
    type KnowledgeBaseStorageType
    The vector store service in which the knowledge base is stored.
    mongoDbAtlasConfiguration KnowledgeBaseMongoDbAtlasConfiguration
    Contains the storage configuration of the knowledge base in MongoDB Atlas.
    opensearchServerlessConfiguration KnowledgeBaseOpenSearchServerlessConfiguration
    Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
    pineconeConfiguration KnowledgeBasePineconeConfiguration
    Contains the storage configuration of the knowledge base in Pinecone.
    rdsConfiguration KnowledgeBaseRdsConfiguration
    Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS .
    type KnowledgeBaseStorageType
    The vector store service in which the knowledge base is stored.
    mongo_db_atlas_configuration KnowledgeBaseMongoDbAtlasConfiguration
    Contains the storage configuration of the knowledge base in MongoDB Atlas.
    opensearch_serverless_configuration KnowledgeBaseOpenSearchServerlessConfiguration
    Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
    pinecone_configuration KnowledgeBasePineconeConfiguration
    Contains the storage configuration of the knowledge base in Pinecone.
    rds_configuration KnowledgeBaseRdsConfiguration
    Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS .
    type "OPENSEARCH_SERVERLESS" | "PINECONE" | "RDS" | "MONGO_DB_ATLAS"
    The vector store service in which the knowledge base is stored.
    mongoDbAtlasConfiguration Property Map
    Contains the storage configuration of the knowledge base in MongoDB Atlas.
    opensearchServerlessConfiguration Property Map
    Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.
    pineconeConfiguration Property Map
    Contains the storage configuration of the knowledge base in Pinecone.
    rdsConfiguration Property Map
    Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS .

    KnowledgeBaseStorageType, KnowledgeBaseStorageTypeArgs

    OpensearchServerless
    OPENSEARCH_SERVERLESS
    Pinecone
    PINECONE
    Rds
    RDS
    MongoDbAtlas
    MONGO_DB_ATLAS
    KnowledgeBaseStorageTypeOpensearchServerless
    OPENSEARCH_SERVERLESS
    KnowledgeBaseStorageTypePinecone
    PINECONE
    KnowledgeBaseStorageTypeRds
    RDS
    KnowledgeBaseStorageTypeMongoDbAtlas
    MONGO_DB_ATLAS
    OpensearchServerless
    OPENSEARCH_SERVERLESS
    Pinecone
    PINECONE
    Rds
    RDS
    MongoDbAtlas
    MONGO_DB_ATLAS
    OpensearchServerless
    OPENSEARCH_SERVERLESS
    Pinecone
    PINECONE
    Rds
    RDS
    MongoDbAtlas
    MONGO_DB_ATLAS
    OPENSEARCH_SERVERLESS
    OPENSEARCH_SERVERLESS
    PINECONE
    PINECONE
    RDS
    RDS
    MONGO_DB_ATLAS
    MONGO_DB_ATLAS
    "OPENSEARCH_SERVERLESS"
    OPENSEARCH_SERVERLESS
    "PINECONE"
    PINECONE
    "RDS"
    RDS
    "MONGO_DB_ATLAS"
    MONGO_DB_ATLAS

    KnowledgeBaseSupplementalDataStorageConfiguration, KnowledgeBaseSupplementalDataStorageConfigurationArgs

    KnowledgeBaseSupplementalDataStorageLocation, KnowledgeBaseSupplementalDataStorageLocationArgs

    KnowledgeBaseSupplementalDataStorageLocationType, KnowledgeBaseSupplementalDataStorageLocationTypeArgs

    S3
    S3
    KnowledgeBaseSupplementalDataStorageLocationTypeS3
    S3
    S3
    S3
    S3
    S3
    S3
    S3
    "S3"
    S3

    KnowledgeBaseType, KnowledgeBaseTypeArgs

    Vector
    VECTOR
    Kendra
    KENDRA
    Sql
    SQL
    KnowledgeBaseTypeVector
    VECTOR
    KnowledgeBaseTypeKendra
    KENDRA
    KnowledgeBaseTypeSql
    SQL
    Vector
    VECTOR
    Kendra
    KENDRA
    Sql
    SQL
    Vector
    VECTOR
    Kendra
    KENDRA
    Sql
    SQL
    VECTOR
    VECTOR
    KENDRA
    KENDRA
    SQL
    SQL
    "VECTOR"
    VECTOR
    "KENDRA"
    KENDRA
    "SQL"
    SQL

    KnowledgeBaseVectorKnowledgeBaseConfiguration, KnowledgeBaseVectorKnowledgeBaseConfigurationArgs

    EmbeddingModelArn string
    The ARN of the model used to create vector embeddings for the knowledge base.
    EmbeddingModelConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseEmbeddingModelConfiguration
    The embeddings model configuration details for the vector model used in Knowledge Base.
    SupplementalDataStorageConfiguration Pulumi.AwsNative.Bedrock.Inputs.KnowledgeBaseSupplementalDataStorageConfiguration
    If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using RetrieveAndGenerate .
    EmbeddingModelArn string
    The ARN of the model used to create vector embeddings for the knowledge base.
    EmbeddingModelConfiguration KnowledgeBaseEmbeddingModelConfiguration
    The embeddings model configuration details for the vector model used in Knowledge Base.
    SupplementalDataStorageConfiguration KnowledgeBaseSupplementalDataStorageConfiguration
    If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using RetrieveAndGenerate .
    embeddingModelArn String
    The ARN of the model used to create vector embeddings for the knowledge base.
    embeddingModelConfiguration KnowledgeBaseEmbeddingModelConfiguration
    The embeddings model configuration details for the vector model used in Knowledge Base.
    supplementalDataStorageConfiguration KnowledgeBaseSupplementalDataStorageConfiguration
    If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using RetrieveAndGenerate .
    embeddingModelArn string
    The ARN of the model used to create vector embeddings for the knowledge base.
    embeddingModelConfiguration KnowledgeBaseEmbeddingModelConfiguration
    The embeddings model configuration details for the vector model used in Knowledge Base.
    supplementalDataStorageConfiguration KnowledgeBaseSupplementalDataStorageConfiguration
    If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using RetrieveAndGenerate .
    embedding_model_arn str
    The ARN of the model used to create vector embeddings for the knowledge base.
    embedding_model_configuration KnowledgeBaseEmbeddingModelConfiguration
    The embeddings model configuration details for the vector model used in Knowledge Base.
    supplemental_data_storage_configuration KnowledgeBaseSupplementalDataStorageConfiguration
    If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using RetrieveAndGenerate .
    embeddingModelArn String
    The ARN of the model used to create vector embeddings for the knowledge base.
    embeddingModelConfiguration Property Map
    The embeddings model configuration details for the vector model used in Knowledge Base.
    supplementalDataStorageConfiguration Property Map
    If you include multimodal data from your data source, use this object to specify configurations for the storage location of the images extracted from your documents. These images can be retrieved and returned to the end user. They can also be used in generation when using RetrieveAndGenerate .

    Package Details

    Repository
    AWS Native pulumi/pulumi-aws-native
    License
    Apache-2.0
    aws-native logo

    We recommend new projects start with resources from the AWS provider.

    AWS Cloud Control v1.24.0 published on Wednesday, Jan 15, 2025 by Pulumi
    pulumi/pulumi-aws-native