Microsoft SharePoint Online and Google Vertex AI Integration

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Automatically analyze documents stored in Microsoft SharePoint Online with Google Vertex AI, using Latenode's visual editor to build custom AI workflows without complex code and scaling affordably.

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Microsoft SharePoint Online

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft SharePoint Online and Google Vertex AI

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

Add the Microsoft SharePoint Online Node

Select the Microsoft SharePoint Online node from the app selection panel on the right.

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Configure the Microsoft SharePoint Online

Click on the Microsoft SharePoint Online node to configure it. You can modify the Microsoft SharePoint Online URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the Google Vertex AI Node

Next, click the plus (+) icon on the Microsoft SharePoint Online 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.

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Configure the Microsoft SharePoint Online 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.

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Run node once

Set Up the Microsoft SharePoint Online 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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Save and Activate the Scenario

After configuring Microsoft SharePoint Online, 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 SharePoint Online and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Microsoft SharePoint Online 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 SharePoint Online and Google Vertex AI

SharePoint Online + Vertex AI + Microsoft Teams: When a new file is added to SharePoint, it triggers analysis by Vertex AI to identify key topics. A summary of these topics is then posted to a specified Microsoft Teams channel.

SharePoint Online + Vertex AI + Slack: Upon the addition of a new file to SharePoint, Vertex AI analyzes the document to extract key entities. These extracted entities are then sent as a message to a designated Slack channel.

Microsoft SharePoint Online and Google Vertex AI integration alternatives

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.

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.

See how Latenode works

FAQ Microsoft SharePoint Online and Google Vertex AI

How can I connect my Microsoft SharePoint Online account to Google Vertex AI using Latenode?

To connect your Microsoft SharePoint Online account to Google Vertex AI on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Microsoft SharePoint Online and click on "Connect".
  • Authenticate your Microsoft SharePoint Online and Google Vertex AI accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically classify SharePoint documents using Vertex AI?

Yes, you can! Latenode enables this with a no-code flow, triggering Vertex AI from new SharePoint files. Benefit: instant, automated content categorization.

What types of tasks can I perform by integrating Microsoft SharePoint Online with Google Vertex AI?

Integrating Microsoft SharePoint Online with Google Vertex AI allows you to perform various tasks, including:

  • Automatically extract key data from documents stored in SharePoint.
  • Use AI to summarize lengthy SharePoint documents.
  • Translate SharePoint content into multiple languages via Vertex AI.
  • Analyze sentiment of customer feedback stored as SharePoint list items.
  • Generate image descriptions for images stored in SharePoint libraries.

What data types does Microsoft SharePoint Online support on Latenode?

Latenode supports various data types from Microsoft SharePoint Online, including files, list items, metadata, and user information.

Are there any limitations to the Microsoft SharePoint Online and Google Vertex AI integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large file processing might require optimized workflow design.
  • Complex Vertex AI models may increase processing time.
  • Integration is limited by the API capabilities of both services.

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