Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class RagEmbeddingModelConfig.
Config for the embedding model to use for RAG.
Generated from protobuf message google.cloud.aiplatform.v1.RagEmbeddingModelConfig
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ vertex_prediction_endpoint |
RagEmbeddingModelConfig\VertexPredictionEndpoint
The Vertex AI Prediction Endpoint that either refers to a publisher model or an endpoint that is hosting a 1P fine-tuned text embedding model. Endpoints hosting non-1P fine-tuned text embedding models are currently not supported. This is used for dense vector search. |
getVertexPredictionEndpoint
The Vertex AI Prediction Endpoint that either refers to a publisher model or an endpoint that is hosting a 1P fine-tuned text embedding model.
Endpoints hosting non-1P fine-tuned text embedding models are currently not supported. This is used for dense vector search.
| Returns | |
|---|---|
| Type | Description |
RagEmbeddingModelConfig\VertexPredictionEndpoint|null |
|
hasVertexPredictionEndpoint
setVertexPredictionEndpoint
The Vertex AI Prediction Endpoint that either refers to a publisher model or an endpoint that is hosting a 1P fine-tuned text embedding model.
Endpoints hosting non-1P fine-tuned text embedding models are currently not supported. This is used for dense vector search.
| Parameter | |
|---|---|
| Name | Description |
var |
RagEmbeddingModelConfig\VertexPredictionEndpoint
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getModelConfig
| Returns | |
|---|---|
| Type | Description |
string |
|