Struct VectorKnowledgeBaseConfiguration 

#[non_exhaustive]
pub struct VectorKnowledgeBaseConfiguration {
    pub embedding_model_arn: String,
    pub embedding_model_configuration: Option<EmbeddingModelConfiguration>,
    pub supplemental_data_storage_configuration: Option<SupplementalDataStorageConfiguration>,
}

Contains details about the model used to create vector embeddings for the knowledge base.

Fields (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.

embedding_model_arn: String

The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base.

embedding_model_configuration: Option<EmbeddingModelConfiguration>

The embeddings model configuration details for the vector model used in Knowledge Base.

supplemental_data_storage_configuration: Option<SupplementalDataStorageConfiguration>

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.

Implementations

impl VectorKnowledgeBaseConfiguration

pub fn embedding_model_arn(&self) -> &str

The Amazon Resource Name (ARN) of the model used to create vector embeddings for the knowledge base.

pub fn embedding_model_configuration( &self, ) -> Option<&EmbeddingModelConfiguration>

The embeddings model configuration details for the vector model used in Knowledge Base.

pub fn supplemental_data_storage_configuration( &self, ) -> Option<&SupplementalDataStorageConfiguration>

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.

impl VectorKnowledgeBaseConfiguration

pub fn builder() -> VectorKnowledgeBaseConfigurationBuilder

Creates a new builder-style object to manufacture VectorKnowledgeBaseConfiguration.

Trait Implementations

impl Clone for VectorKnowledgeBaseConfiguration

fn clone(&self) -> VectorKnowledgeBaseConfiguration

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for VectorKnowledgeBaseConfiguration

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

Formats the value using the given formatter.

impl PartialEq for VectorKnowledgeBaseConfiguration

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

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

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

impl StructuralPartialEq for VectorKnowledgeBaseConfiguration