aws_sdk_bedrockagent::operation::create_data_source::builders

Struct CreateDataSourceFluentBuilder

pub struct CreateDataSourceFluentBuilder { /* private fields */ }

Expand description

Fluent builder constructing a request to CreateDataSource.

Connects a knowledge base to a data source. You specify the configuration for the specific data source service in the dataSourceConfiguration field.

You can't change the chunkingConfiguration after you create the data source connector.

Implementations§

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impl CreateDataSourceFluentBuilder

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pub fn as_input(&self) -> &CreateDataSourceInputBuilder

Access the CreateDataSource as a reference.

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pub async fn send( self, ) -> Result<CreateDataSourceOutput, SdkError<CreateDataSourceError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<CreateDataSourceOutput, CreateDataSourceError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn knowledge_base_id(self, input: impl Into<String>) -> Self

The unique identifier of the knowledge base to which to add the data source.

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pub fn set_knowledge_base_id(self, input: Option<String>) -> Self

The unique identifier of the knowledge base to which to add the data source.

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pub fn get_knowledge_base_id(&self) -> &Option<String>

The unique identifier of the knowledge base to which to add the data source.

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pub fn client_token(self, input: impl Into<String>) -> Self

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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pub fn set_client_token(self, input: Option<String>) -> Self

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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pub fn get_client_token(&self) -> &Option<String>

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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pub fn name(self, input: impl Into<String>) -> Self

The name of the data source.

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pub fn set_name(self, input: Option<String>) -> Self

The name of the data source.

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pub fn get_name(&self) -> &Option<String>

The name of the data source.

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pub fn description(self, input: impl Into<String>) -> Self

A description of the data source.

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pub fn set_description(self, input: Option<String>) -> Self

A description of the data source.

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pub fn get_description(&self) -> &Option<String>

A description of the data source.

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pub fn data_source_configuration(self, input: DataSourceConfiguration) -> Self

The connection configuration for the data source.

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pub fn set_data_source_configuration( self, input: Option<DataSourceConfiguration>, ) -> Self

The connection configuration for the data source.

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pub fn get_data_source_configuration(&self) -> &Option<DataSourceConfiguration>

The connection configuration for the data source.

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pub fn data_deletion_policy(self, input: DataDeletionPolicy) -> Self

The data deletion policy for the data source.

You can set the data deletion policy to:

DELETE: Deletes all data from your data source that’s converted into vector embeddings upon deletion of a knowledge base or data source resource. Note that the vector store itself is not deleted, only the data. This flag is ignored if an Amazon Web Services account is deleted.
RETAIN: Retains all data from your data source that’s converted into vector embeddings upon deletion of a knowledge base or data source resource. Note that the vector store itself is not deleted if you delete a knowledge base or data source resource.

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pub fn set_data_deletion_policy(self, input: Option<DataDeletionPolicy>) -> Self

The data deletion policy for the data source.

You can set the data deletion policy to:

DELETE: Deletes all data from your data source that’s converted into vector embeddings upon deletion of a knowledge base or data source resource. Note that the vector store itself is not deleted, only the data. This flag is ignored if an Amazon Web Services account is deleted.
RETAIN: Retains all data from your data source that’s converted into vector embeddings upon deletion of a knowledge base or data source resource. Note that the vector store itself is not deleted if you delete a knowledge base or data source resource.

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pub fn get_data_deletion_policy(&self) -> &Option<DataDeletionPolicy>

The data deletion policy for the data source.

You can set the data deletion policy to:

DELETE: Deletes all data from your data source that’s converted into vector embeddings upon deletion of a knowledge base or data source resource. Note that the vector store itself is not deleted, only the data. This flag is ignored if an Amazon Web Services account is deleted.
RETAIN: Retains all data from your data source that’s converted into vector embeddings upon deletion of a knowledge base or data source resource. Note that the vector store itself is not deleted if you delete a knowledge base or data source resource.

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pub fn server_side_encryption_configuration( self, input: ServerSideEncryptionConfiguration, ) -> Self

Contains details about the server-side encryption for the data source.

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pub fn set_server_side_encryption_configuration( self, input: Option<ServerSideEncryptionConfiguration>, ) -> Self

Contains details about the server-side encryption for the data source.

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pub fn get_server_side_encryption_configuration( &self, ) -> &Option<ServerSideEncryptionConfiguration>

Contains details about the server-side encryption for the data source.

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pub fn vector_ingestion_configuration( self, input: VectorIngestionConfiguration, ) -> Self

Contains details about how to ingest the documents in the data source.

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pub fn set_vector_ingestion_configuration( self, input: Option<VectorIngestionConfiguration>, ) -> Self

Contains details about how to ingest the documents in the data source.

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pub fn get_vector_ingestion_configuration( &self, ) -> &Option<VectorIngestionConfiguration>

Contains details about how to ingest the documents in the data source.

Trait Implementations§

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impl Clone for CreateDataSourceFluentBuilder

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fn clone(&self) -> CreateDataSourceFluentBuilder

Returns a duplicate of the value. Read more

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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more

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impl Debug for CreateDataSourceFluentBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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impl !UnwindSafe for CreateDataSourceFluentBuilder

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Struct CreateDataSourceFluentBuilderCopy item path

Implementations§

impl CreateDataSourceFluentBuilder

pub fn as_input(&self) -> &CreateDataSourceInputBuilder

pub async fn send( self, ) -> Result<CreateDataSourceOutput, SdkError<CreateDataSourceError, HttpResponse>>

pub fn customize( self, ) -> CustomizableOperation<CreateDataSourceOutput, CreateDataSourceError, Self>

pub fn knowledge_base_id(self, input: impl Into<String>) -> Self

pub fn set_knowledge_base_id(self, input: Option<String>) -> Self

pub fn get_knowledge_base_id(&self) -> &Option<String>

pub fn client_token(self, input: impl Into<String>) -> Self

pub fn set_client_token(self, input: Option<String>) -> Self

pub fn get_client_token(&self) -> &Option<String>

pub fn name(self, input: impl Into<String>) -> Self

pub fn set_name(self, input: Option<String>) -> Self

pub fn get_name(&self) -> &Option<String>

pub fn description(self, input: impl Into<String>) -> Self

pub fn set_description(self, input: Option<String>) -> Self

pub fn get_description(&self) -> &Option<String>

pub fn data_source_configuration(self, input: DataSourceConfiguration) -> Self

pub fn set_data_source_configuration( self, input: Option<DataSourceConfiguration>, ) -> Self

pub fn get_data_source_configuration(&self) -> &Option<DataSourceConfiguration>

pub fn data_deletion_policy(self, input: DataDeletionPolicy) -> Self

pub fn set_data_deletion_policy(self, input: Option<DataDeletionPolicy>) -> Self

pub fn get_data_deletion_policy(&self) -> &Option<DataDeletionPolicy>

pub fn server_side_encryption_configuration( self, input: ServerSideEncryptionConfiguration, ) -> Self

pub fn set_server_side_encryption_configuration( self, input: Option<ServerSideEncryptionConfiguration>, ) -> Self

pub fn get_server_side_encryption_configuration( &self, ) -> &Option<ServerSideEncryptionConfiguration>

pub fn vector_ingestion_configuration( self, input: VectorIngestionConfiguration, ) -> Self

pub fn set_vector_ingestion_configuration( self, input: Option<VectorIngestionConfiguration>, ) -> Self

pub fn get_vector_ingestion_configuration( &self, ) -> &Option<VectorIngestionConfiguration>

Trait Implementations§

impl Clone for CreateDataSourceFluentBuilder

fn clone(&self) -> CreateDataSourceFluentBuilder

const fn clone_from(&mut self, source: &Self)

impl Debug for CreateDataSourceFluentBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Auto Trait Implementations§

impl Freeze for CreateDataSourceFluentBuilder

impl !RefUnwindSafe for CreateDataSourceFluentBuilder

impl Send for CreateDataSourceFluentBuilder

impl Sync for CreateDataSourceFluentBuilder

impl Unpin for CreateDataSourceFluentBuilder

impl !UnwindSafe for CreateDataSourceFluentBuilder

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Struct CreateDataSourceFluentBuilder

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