How to connect Google Vertex AI and Microsoft SharePoint Online
Create a New Scenario to Connect Google Vertex AI and Microsoft SharePoint Online
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 Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Microsoft SharePoint Online will be your first step. To do this, click "Choose an app," find Google Vertex AI or Microsoft SharePoint Online, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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

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Microsoft SharePoint Online

Authenticate Microsoft SharePoint Online
Now, click the Microsoft SharePoint Online node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SharePoint Online settings. Authentication allows you to use Microsoft SharePoint Online through Latenode.
Configure the Google Vertex AI and Microsoft SharePoint Online 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 Google Vertex AI and Microsoft SharePoint Online 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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AI Anthropic Claude 3
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Microsoft SharePoint Online
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Microsoft SharePoint Online, 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 Google Vertex AI and Microsoft SharePoint Online integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Microsoft SharePoint Online (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Microsoft SharePoint Online
Microsoft SharePoint Online + Google Vertex AI + Slack: When a new file is uploaded to SharePoint, analyze it using Vertex AI's Gemini model, then post a summary of the analysis to a dedicated Slack channel.
Microsoft SharePoint Online + Google Vertex AI + Microsoft Teams: When a new file is uploaded to SharePoint, use Vertex AI's Gemini to analyze the file, and then post the analysis result in a specified Teams channel.
Google Vertex AI and Microsoft SharePoint Online integration alternatives
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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About Microsoft SharePoint Online
Automate SharePoint Online document management using Latenode. Trigger flows on file changes, move documents based on content, or update metadata without code. Streamline approvals and notifications with visual workflows, integrating SharePoint with other apps. Benefit from flexible logic and scalable execution.
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See how Latenode works
FAQ Google Vertex AI and Microsoft SharePoint Online
How can I connect my Google Vertex AI account to Microsoft SharePoint Online using Latenode?
To connect your Google Vertex AI account to Microsoft SharePoint Online on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Microsoft SharePoint Online accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize SharePoint documents using Vertex AI?
Yes, using Latenode, you can automate document summarization. This saves time and enhances information accessibility via AI and seamless app integration.
What types of tasks can I perform by integrating Google Vertex AI with Microsoft SharePoint Online?
Integrating Google Vertex AI with Microsoft SharePoint Online allows you to perform various tasks, including:
- Automatically classify documents stored in SharePoint using Vertex AI.
- Generate summaries of SharePoint documents with Vertex AI's natural language processing.
- Extract key information from SharePoint files using AI-powered data extraction.
- Translate SharePoint documents into multiple languages using Vertex AI.
- Analyze sentiment of feedback stored as text in SharePoint using Vertex AI.
How does Latenode enhance Google Vertex AI data processing?
Latenode allows you to visually build scalable data pipelines, add custom logic with JavaScript, and automate complex AI workflows.
Are there any limitations to the Google Vertex AI and Microsoft SharePoint Online integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file transfers from SharePoint to Google Vertex AI might experience delays.
- Complex Vertex AI models require careful resource allocation within Latenode.
- Initial setup requires understanding of both Google Vertex AI and Microsoft SharePoint Online permissions.