Reference documentation and code samples for the Google Cloud Vector Search V1 Client class VertexEmbeddingConfig.
Message describing the configuration for generating embeddings for a vector field using Vertex AI embeddings API.
Generated from protobuf message google.cloud.vectorsearch.v1.VertexEmbeddingConfig
Namespace
Google \ Cloud \ VectorSearch \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ model_id
string
Required. Required: ID of the embedding model to use. See https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#embeddings-models for the list of supported models.
↳ text_template
string
Required. Required: Text template for the input to the model. The template must contain one or more references to fields in the DataObject, e.g.: "Movie Title: {title} ---- Movie Plot: {plot}".
↳ task_type
int
Required. Required: Task type for the embeddings.
getModelId
Required. Required: ID of the embedding model to use. See https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#embeddings-models for the list of supported models.
string
setModelId
Required. Required: ID of the embedding model to use. See https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#embeddings-models for the list of supported models.
var
string
$this
getTextTemplate
Required. Required: Text template for the input to the model. The template must contain one or more references to fields in the DataObject, e.g.: "Movie Title: {title} ---- Movie Plot: {plot}".
string
setTextTemplate
Required. Required: Text template for the input to the model. The template must contain one or more references to fields in the DataObject, e.g.: "Movie Title: {title} ---- Movie Plot: {plot}".
var
string
$this
getTaskType
Required. Required: Task type for the embeddings.
setTaskType
Required. Required: Task type for the embeddings.
$this
