Maintained with ☕️ by
IcePanel logo

You can now create a remote model based on an open embedding model from Vertex Model Garden or Hugging Face that is deployed to Vertex AI

Share

Services

## Feature You can now create a [remote model based on an open embedding model from Vertex Model Garden or Hugging Face that is deployed to Vertex AI](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model-open). Options include E5 Embedding and other leading open embedding generation models. You can then use the [ML.GENERATE\_EMBEDDING function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-generate-embedding) with this remote model to generate embeddings. Try this feature with the [Generate text embeddings by using an open model and the ML.GENERATE\_EMBEDDING function](https://cloud.google.com/bigquery/docs/generate-text-embedding-tutorial-open-models) tutorial. This feature is in [Preview](https://cloud.google.com/products/#product-launch-stages). ## Feature You can now create a [remote model](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-create-remote-model) based on the Vertex AI `gemini-embedding-001` model. You can then use the [ML.GENERATE\_EMBEDDING function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-generate-embedding) with this remote model to generate embeddings. This feature is in [Preview](https://cloud.google.com/products/#product-launch-stages). ## Feature You can now reference BigQuery ML and DataFrames in your [prompts](https://cloud.google.com/bigquery/docs/colab-data-science-agent#sample-prompts) when you use the [Data Science Agent](https://cloud.google.com/bigquery/docs/colab-data-science-agent) in a BigQuery notebook. The Data Science Agent is in [Preview](https://cloud.google.com/products/#product-launch-stages). ## Feature You can now configure listings for multiple regions for shared datasets and linked dataset replicas in BigQuery sharing. For more information, see [Create a listing](https://cloud.google.com/bigquery/docs/analytics-hub-manage-listings#create%5Fa%5Flisting). This feature is in [preview](https://cloud.google.com/products#product-launch-stages). ## Feature You can now enable the automatic selection of a processing location in your pipeline configurations. For more information, see [Create pipelines](https://cloud.google.com/bigquery/docs/create-pipelines). This feature is [generally available](https://cloud.google.com/products#product-launch-stages) (GA).