BigQuery
Feature
You can create a remote model
based on the Vertex AI gemini-embedding-001 model, or a
remote model
based on an open embedding model from Vertex Model Garden or Hugging Face that
is deployed to Vertex AI.
You can then use the
AI.GENERATE_EMBEDDING function
with these remote models to generate embeddings. You can also use the
AI.EMBED function
directly with the gemini-embedding-001 model endpoint.
These features are generally available (GA).
Feature
You can now use the Pipelines & Connections page to streamline your data integration tasks by using guided, BigQuery-specific configuration workflows for services like BigQuery Data Transfer Service, Datastream, and Pub/Sub.
This feature is in Preview.
Bigtable
Feature
Bigtable tools in the Agent Development Kit (ADK) are generally available (GA). With these tools, you can build AI agents that interact with Bigtable to discover metadata about Bigtable tables and instances and execute LLM-powered SQL queries.
Cloud Storage
Feature
You can now identify publicly accessible objects (preview) by using Storage Insights datasets. The object metadata schema includes fields that provide the public access status of your objects, which lets you understand, organize, and manage publicly accessible objects at scale.
Gemini
Other
Bug fixes in VS Code
Various bug fixes and minor product enhancements.
Other
Bug fixes in IntelliJ
Various bug fixes and minor product enhancements.
Looker Studio
Feature
Correction: CSV connector enhancement available to all users
Enhancements to the CSV connector user interface are available to all Looker Studio users. This feature was previously announced as being available only to Looker Studio Pro users.
Oracle Database@Google Cloud
Feature
For Exadata Database Service and Autonomous Database Service, Oracle Database@Google Cloud supports the europe-west8-b-r1 (Milan, Italy) region.
For a list of supported locations, see Supported regions and zones.
Source: Google Cloud Platform



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