You can now create, store, and manage pipelines in Git folders

## Feature Feature You can now [create, store](https://cloud.google.com/bigquery/docs/create-pipelines), and[manage pipelines](https://cloud.google.com/bigquery/docs/manage-pipelines) in Git folders. This feature is in[Preview](https://cloud.google.com/products#product-launch-stages). ## Feature Feature BigQuery now supports [TabFM](https://research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/), Google's pre-trained foundation model for tabular data. TabFM enables zero-shot regression and classification through in-context learning. It delivers high-accuracy predictions on structured data without requiring model training or hyperparameter tuning. You can use TabFM directly through the[AI.PREDICT function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-predict)and evaluate model performance by using the[AI.EVALUATE function](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-evaluate). This feature is in[Preview](https://cloud.google.com/products#product-launch-stages). ## Fix Fixed Support for [configuring daily token quotas](https://cloud.google.com/bigquery/docs/control-genai-costs)for BigQuery generative AI functions has been restored. ## Feature Feature Using [folders](https://cloud.google.com/bigquery/docs/code-asset-folders) to[create, store, and manage pipelines](https://cloud.google.com/bigquery/docs/create-pipelines) is[generally available](https://cloud.google.com/products#product-launch-stages). ## Feature Feature You can now create an[identity column](https://cloud.google.com/bigquery/docs/identity-columns), sometimes referred to as an auto-incrementing column, on a table. You can use identity columns to create and maintain primary keys on your tables. When you insert a row into a table that has an identity column, BigQuery generates a unique integer value for that column. This feature is in[Preview](https://cloud.google.com/products#product-launch-stages). ## Feature Feature [BigQuery Graph](https://cloud.google.com/bigquery/docs/graph-overview)is [generally available](https://cloud.google.com/products#product-launch-stages)(GA). BigQuery Graph now includes support for the `CALL` [graph query statement](https://cloud.google.com/bigquery/docs/reference/standard-sql/graph-query-statements), and the following path inspection[GQL functions](https://cloud.google.com/bigquery/docs/reference/standard-sql/graph-gql-functions): * `IS_ACYCLIC` * `IS_SIMPLE` * `IS_TRAIL`.