class Amazonite::DynamoDB::CreateVectorIndexAction

• Amazonite::DynamoDB::CreateVectorIndexAction
• Reference
• Object

Overview

A new vector index to be added to a table.

Included Modules

• JSON::Serializable

Defined in:

dynamodb/create_vector_index_action.cr

Constructors

• .new(index_name : String, vector_attribute : VectorAttributeDefinition, projection : Projection, dimensions : Int64, distance_function : VectorDistanceFunction, search_schema : Array(SearchSchemaElement) | Nil = nil)
• .new(pull : JSON::PullParser)

Instance Method Summary

• #==(other : self)

  Returns true if this reference is the same as other.

• #dimensions : Int64

  The number of dimensions in each vector.

• #dimensions=(dimensions : Int64)

  The number of dimensions in each vector.

• #distance_function : VectorDistanceFunction

  The distance function used to calculate similarity.

• #distance_function=(distance_function : VectorDistanceFunction)

  The distance function used to calculate similarity.

• #hash(hasher)

  See Object#hash(hasher)

• #index_name : String

  The name of the vector index.

• #index_name=(index_name : String)

  The name of the vector index.

• #projection : Projection

  Specifies attributes that are copied (projected) from the table into the vector index.

• #projection=(projection : Projection)

  Specifies attributes that are copied (projected) from the table into the vector index.

• #search_schema : Array(SearchSchemaElement) | Nil

  The partition key and inline filter attribute definitions for the vector index.

• #search_schema=(search_schema : Array(SearchSchemaElement) | Nil)

  The partition key and inline filter attribute definitions for the vector index.

• #validate! : Nil
• #vector_attribute : VectorAttributeDefinition

  The attribute that contains vector embeddings.

• #vector_attribute=(vector_attribute : VectorAttributeDefinition)

  The attribute that contains vector embeddings.

Constructor Detail

Instance Method Detail