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Get Text Embeddings

Generates embeddings for text using Google Vertex AI's text embedding models.

Common Properties​

  • Name - The custom name of the node.
  • Color - The custom color of the node.
  • Delay Before (sec) - Waits in seconds before executing the node.
  • Delay After (sec) - Waits in seconds after executing node.
  • Continue On Error - Automation will continue regardless of any error. The default value is false.
info

If the ContinueOnError property is true, no error is caught when the project is executed, even if a Catch node is used.

Inputs​

  • Connection Id - The unique identifier of the connection to Vertex AI, typically obtained from the Connect node.
  • Text - The text for which to generate embeddings.

Options​

  • Model - The embedding model to use. Options include:
    • Custom Model
    • Text Embedding Gecko@001
    • Text Embedding Gecko
    • Text Embedding Gecko Multilingual
    • Default is Text Embedding Gecko@001.
  • Custom Model - Custom model name if "Custom Model" is selected.
  • Locations - Google Cloud region for the service. Default is "us-central1".
  • Publishers - Publisher of the model. Default is "google".

Output​

  • Response - The generated text embeddings from the Vertex AI model as an object.

How It Works​

The Get Text Embeddings node generates embeddings for text using Vertex AI's text embedding models. When executed, the node:

  1. Validates the connection ID and retrieves the authentication token
  2. Validates the required text input
  3. Collects all optional parameters and configurations
  4. Constructs a request with the text and parameters
  5. Sends the request to the Vertex AI text embedding model endpoint
  6. Processes the response and returns it

Requirements​

  • A valid connection to Vertex AI established with the Connect node
  • Valid Google Cloud credentials with appropriate permissions
  • A properly configured Vertex AI text embedding model
  • Text input for which to generate embeddings

Error Handling​

The node will return specific errors in the following cases:

  • Empty or invalid Connection ID
  • Empty text input
  • Invalid parameter values
  • Missing required parameters
  • Invalid model selection
  • Network connectivity issues
  • Vertex AI service errors
  • Authentication failures

Usage Notes​

  • The Connection ID must be obtained from a successful Connect node execution
  • The text input should be meaningful content for which you want embeddings
  • Different models offer different capabilities:
    • Text Embedding Gecko@001 - Standard English model
    • Text Embedding Gecko - Latest English model
    • Text Embedding Gecko Multilingual - Supports multiple languages
  • The Locations parameter should match where your Vertex AI resources are deployed
  • Embeddings are numerical representations useful for machine learning tasks
  • The response contains embedding vectors that can be used for semantic search, clustering, or classification
  • For text and image embeddings together, use the Get Multimodal Embeddings node