dynamodb/aws.sdk.kotlin.services.dynamodb.model/CreateVectorIndexAction

CreateVectorIndexAction

class CreateVectorIndexAction

A new vector index to be added to a table.

Types

object Companion

Properties

val dimensions: Long

The number of dimensions in each vector.

distanceFunction

val distanceFunction: VectorDistanceFunction

The distance function used to calculate similarity. Valid values: COSINE, EUCLIDEAN, DOT_PRODUCT.

val indexName: String

The name of the vector index. Must be unique within the table.

val projection: Projection?

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

val searchSchema: List<SearchSchemaElement>?

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

vectorAttribute

val vectorAttribute: VectorAttributeDefinition?

The attribute that contains vector embeddings. If multiple vector indexes reference the same attribute, they must all use the same number of dimensions.

Functions

inline fun copy(block: CreateVectorIndexAction.Builder.() -> Unit = {}): CreateVectorIndexAction

open operator override fun equals(other: Any?): Boolean

open override fun hashCode(): Int

open override fun toString(): String