Google Cloud Ai Platform V1 Client - Class EmbeddingTaskType (1.43.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class EmbeddingTaskType.

Represents a downstream task the embeddings will be used for.

Protobuf type google.cloud.aiplatform.v1.EmbedContentRequest.EmbeddingTaskType

Namespace

Google \ Cloud \ AIPlatform \ V1 \ EmbedContentRequest

Methods

static::name

Parameter
Name Description
value mixed

static::value

Parameter
Name Description
name mixed

Constants

UNSPECIFIED

Value: 0

Unset value, which will default to one of the other enum values.

Generated from protobuf enum UNSPECIFIED = 0;

RETRIEVAL_QUERY

Value: 2

Specifies the given text is a query in a search/retrieval setting.

Generated from protobuf enum RETRIEVAL_QUERY = 2;

RETRIEVAL_DOCUMENT

Value: 3

Specifies the given text is a document from the corpus being searched.

Generated from protobuf enum RETRIEVAL_DOCUMENT = 3;

SEMANTIC_SIMILARITY

Value: 4

Specifies the given text will be used for STS.

Generated from protobuf enum SEMANTIC_SIMILARITY = 4;

CLASSIFICATION

Value: 5

Specifies that the given text will be classified.

Generated from protobuf enum CLASSIFICATION = 5;

CLUSTERING

Value: 6

Specifies that the embeddings will be used for clustering.

Generated from protobuf enum CLUSTERING = 6;

QUESTION_ANSWERING

Value: 7

Specifies that the embeddings will be used for question answering.

Generated from protobuf enum QUESTION_ANSWERING = 7;

FACT_VERIFICATION

Value: 8

Specifies that the embeddings will be used for fact verification.

Generated from protobuf enum FACT_VERIFICATION = 8;

CODE_RETRIEVAL_QUERY

Value: 9

Specifies that the embeddings will be used for code retrieval.

Generated from protobuf enum CODE_RETRIEVAL_QUERY = 9;