This document describes the known issues and limitations for Gemini Enterprise.
Connecting and managing data
The following are known issues and limitations when connecting and managing your data in Gemini Enterprise:
You can only have 500 data stores per project. If you need more data stores, you need to use a new project.
You can only have 500 Gemini Enterprise apps per project. If you need more apps, you need to use a new project.
After you create an app, the Google Cloud project and location are fixed for the data store and app. Data and settings cannot be automatically migrated between different projects or locations.
You cannot connect your website data to a Gemini Enterprise app.
An app can only support one data connection method (federated or ingestion) for a connector. If the connector supports both data federation and data ingestion, select your preferred data connection method.
Using Gemini 3 in preview
The following are known issues and limitations when using Gemini 3 with Gemini Enterprise:
Gemini 3 is in preview and is only available in the Vertex AI Global region. Therefore, it does not meet the data residency (DRZ) or machine learning (ML) processing requirements in US or EU regions for Gemini Enterprise.
Gemini 3 can experience increased latency compared to the default LLM model.
Due to limited capacity, the assistant might experience timeouts during answer generation or conversations.
Sources used for answer generation might not be explicitly listed.
Actions such as email sending or event creation might not function as expected.