How to connect Microsoft OneNote and Google Vertex AI
Create a New Scenario to Connect Microsoft OneNote and Google Vertex AI
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft OneNote, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft OneNote or Google Vertex AI will be your first step. To do this, click "Choose an app," find Microsoft OneNote or Google Vertex AI, and select the appropriate trigger to start the scenario.

Add the Microsoft OneNote Node
Select the Microsoft OneNote node from the app selection panel on the right.

Microsoft OneNote
Configure the Microsoft OneNote
Click on the Microsoft OneNote node to configure it. You can modify the Microsoft OneNote URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Vertex AI Node
Next, click the plus (+) icon on the Microsoft OneNote node, select Google Vertex AI from the list of available apps, and choose the action you need from the list of nodes within Google Vertex AI.

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Microsoft OneNote and Google Vertex AI Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Microsoft OneNote and Google Vertex AI Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft OneNote, Google Vertex AI, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Microsoft OneNote and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Microsoft OneNote and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft OneNote and Google Vertex AI
Microsoft OneNote + Google Vertex AI + Microsoft Teams: When a new note is created in a OneNote section, the content is analyzed by Google Vertex AI to generate a summary. This summary is then sent as a message to a specified Microsoft Teams channel.
Microsoft OneNote + Google Vertex AI + Google Docs: When a new note is created in OneNote, its content is used by Google Vertex AI to generate a document draft. This draft is then saved as a new document in Google Docs.
Microsoft OneNote and Google Vertex AI integration alternatives
About Microsoft OneNote
Automate OneNote tasks within Latenode: create notes from new leads, log support tickets, or archive data. Use Latenode to trigger actions based on OneNote updates, populate notebooks with data from other apps, and manage your information flow automatically. This avoids manual copy/paste and keeps your notes synchronized across systems.
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About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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See how Latenode works
FAQ Microsoft OneNote and Google Vertex AI
How can I connect my Microsoft OneNote account to Google Vertex AI using Latenode?
To connect your Microsoft OneNote account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft OneNote and click on "Connect".
- Authenticate your Microsoft OneNote and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze OneNote notes using Vertex AI models?
Yes, you can! Latenode simplifies sending OneNote content to Vertex AI for analysis. Gain insights from your notes with powerful AI, no coding required.
What types of tasks can I perform by integrating Microsoft OneNote with Google Vertex AI?
Integrating Microsoft OneNote with Google Vertex AI allows you to perform various tasks, including:
- Automatically summarize meeting notes stored in OneNote.
- Extract key action items from OneNote using AI models.
- Classify OneNote content based on topic using Vertex AI.
- Translate OneNote notes into multiple languages automatically.
- Generate creative content from OneNote outlines using Vertex AI.
How secure is my Microsoft OneNote data on Latenode?
Latenode uses advanced encryption and security protocols to ensure the safety and privacy of your data during integration and automation.
Are there any limitations to the Microsoft OneNote and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large OneNote files may take longer to process with Vertex AI.
- The integration relies on the availability of both apps' APIs.
- Complex Vertex AI models may require higher Latenode resource allocation.