StorageConfiguration

Struct StorageConfiguration 

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#[non_exhaustive]
pub struct StorageConfiguration { pub type: KnowledgeBaseStorageType, pub opensearch_serverless_configuration: Option<OpenSearchServerlessConfiguration>, pub opensearch_managed_cluster_configuration: Option<OpenSearchManagedClusterConfiguration>, pub pinecone_configuration: Option<PineconeConfiguration>, pub redis_enterprise_cloud_configuration: Option<RedisEnterpriseCloudConfiguration>, pub rds_configuration: Option<RdsConfiguration>, pub mongo_db_atlas_configuration: Option<MongoDbAtlasConfiguration>, pub neptune_analytics_configuration: Option<NeptuneAnalyticsConfiguration>, pub s3_vectors_configuration: Option<S3VectorsConfiguration>, }
Expand description

Contains the storage configuration of the knowledge base.

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§type: KnowledgeBaseStorageType

The vector store service in which the knowledge base is stored.

§opensearch_serverless_configuration: Option<OpenSearchServerlessConfiguration>

Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.

§opensearch_managed_cluster_configuration: Option<OpenSearchManagedClusterConfiguration>

Contains details about the storage configuration of the knowledge base in OpenSearch Managed Cluster. For more information, see Create a vector index in Amazon OpenSearch Service.

§pinecone_configuration: Option<PineconeConfiguration>

Contains the storage configuration of the knowledge base in Pinecone.

§redis_enterprise_cloud_configuration: Option<RedisEnterpriseCloudConfiguration>

Contains the storage configuration of the knowledge base in Redis Enterprise Cloud.

§rds_configuration: Option<RdsConfiguration>

Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS.

§mongo_db_atlas_configuration: Option<MongoDbAtlasConfiguration>

Contains the storage configuration of the knowledge base in MongoDB Atlas.

§neptune_analytics_configuration: Option<NeptuneAnalyticsConfiguration>

Contains details about the Neptune Analytics configuration of the knowledge base in Amazon Neptune. For more information, see Create a vector index in Amazon Neptune Analytics..

§s3_vectors_configuration: Option<S3VectorsConfiguration>

The configuration settings for storing knowledge base data using S3 vectors. This includes vector index information and S3 bucket details for vector storage.

Implementations§

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impl StorageConfiguration

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pub fn type(&self) -> &KnowledgeBaseStorageType

The vector store service in which the knowledge base is stored.

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pub fn opensearch_serverless_configuration( &self, ) -> Option<&OpenSearchServerlessConfiguration>

Contains the storage configuration of the knowledge base in Amazon OpenSearch Service.

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pub fn opensearch_managed_cluster_configuration( &self, ) -> Option<&OpenSearchManagedClusterConfiguration>

Contains details about the storage configuration of the knowledge base in OpenSearch Managed Cluster. For more information, see Create a vector index in Amazon OpenSearch Service.

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pub fn pinecone_configuration(&self) -> Option<&PineconeConfiguration>

Contains the storage configuration of the knowledge base in Pinecone.

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pub fn redis_enterprise_cloud_configuration( &self, ) -> Option<&RedisEnterpriseCloudConfiguration>

Contains the storage configuration of the knowledge base in Redis Enterprise Cloud.

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pub fn rds_configuration(&self) -> Option<&RdsConfiguration>

Contains details about the storage configuration of the knowledge base in Amazon RDS. For more information, see Create a vector index in Amazon RDS.

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pub fn mongo_db_atlas_configuration(&self) -> Option<&MongoDbAtlasConfiguration>

Contains the storage configuration of the knowledge base in MongoDB Atlas.

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pub fn neptune_analytics_configuration( &self, ) -> Option<&NeptuneAnalyticsConfiguration>

Contains details about the Neptune Analytics configuration of the knowledge base in Amazon Neptune. For more information, see Create a vector index in Amazon Neptune Analytics..

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pub fn s3_vectors_configuration(&self) -> Option<&S3VectorsConfiguration>

The configuration settings for storing knowledge base data using S3 vectors. This includes vector index information and S3 bucket details for vector storage.

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impl StorageConfiguration

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pub fn builder() -> StorageConfigurationBuilder

Creates a new builder-style object to manufacture StorageConfiguration.

Trait Implementations§

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impl Clone for StorageConfiguration

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fn clone(&self) -> StorageConfiguration

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for StorageConfiguration

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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 PartialEq for StorageConfiguration

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fn eq(&self, other: &StorageConfiguration) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for StorageConfiguration

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