CreateVertexAIEmbeddings 2025.10.9.21¶

Bundle¶

com.snowflake.openflow.runtime | runtime-vertexai-nar

Uses VertexAI to create embeddings for text. The input text can be provided as a single FlowFile or as a record-oriented FlowFile.

chatbot, cloud, embeddings, gcp, gen ai, generative ai, google, llm, nlp, openflow, text, vertex

false

Property	Description
Auto Truncate	If set to false, text that exceeds the token limit causes the request to fail.
Embeddings Model	The model to use for embeddings, available models are listed at https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#models
Embeddings Record Path	The path to the field in the record where the embeddings are to be written.
GCP Credentials Service	The Controller Service used to obtain Google Cloud Platform credentials.
GCP Location	The location to configure the Vertex client with
GCP Project ID	The project ID to configure the Vertex client with
Max Batch Size	The maximum number of records to include in each batch sent to VertexAI
Model Publisher	The publisher of the model
Output Dimensionality	Used to specify output embedding size. If set, output embeddings will be truncated to the size specified.
Record Reader	The record reader to use for reading record-oriented data. If the incoming data is to be treated as plaintext, this property should be left unset.
Record Writer	The Record Writer to use for writing the output
Task Type	Used to convey intended downstream application of embeddings to help the model tune embeddings for a specific purpose.
Text Record Path	The path to the field in the record that contains the text to be embedded. If the incoming data is to be treated as plaintext, this property should be left unset.
User	An identifier for the remote user on whose behalf the request is being made.

Name	Description
failure	The original FlowFile will be routed to this relationship if the embeddings could not be created
success	The embeddings will be routed to this relationship

Name	Description
record.count	The number of records written to the output
mime.type	The MIME type of the output data, based on the chosen Record Writer

Create embeddings for text using VertexAI’s Embedding model