| Step Details | |
| Introduced in Version | 8.17.0 |
| Last Modified in Version | 8.17.0 |
| Location | AI > Google Vertex |
The Get Embedding for Text step obtains numerical vector representations (embeddings) for text data. Text embeddings represent the semantic meaning of text, enabling various downstream natural language processing (NLP) tasks, such as text classification, clustering, or similarity analysis.
Prerequisites
Refer to Google Vertex AI for setup instructions before using the step.
Additionally, ensure that the Google Cloud module dependency is installed, as it is required for this step to function.
Users on v9 will need to create a Project dependency.
Properties
Inputs
| Property | Description | Data Type |
|---|---|---|
| Text to Process | The text that needs to be represented as vector embeddings. | String |
Outputs
| Property | Description | Data Type |
|---|---|---|
| Resulting Embeddings | Numerical vector representations (embeddings) of the input text. | String |
