Google Vertex AI and Bubble Integration

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Google Vertex AI

Bubble

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Bubble

Create a New Scenario to Connect Google Vertex AI and Bubble

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 Bubble will be your first step. To do this, click "Choose an app," find Google Vertex AI or Bubble, 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.

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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.

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Run node once

Add the Bubble Node

Next, click the plus (+) icon on the Google Vertex AI node, select Bubble from the list of available apps, and choose the action you need from the list of nodes within Bubble.

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Authenticate Bubble

Now, click the Bubble node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Bubble settings. Authentication allows you to use Bubble through Latenode.

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Configure the Google Vertex AI and Bubble 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 Google Vertex AI and Bubble 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 Google Vertex AI, Bubble, 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 Bubble integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Bubble (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 Bubble

Bubble + Google Vertex AI + Airtable: When new user feedback is submitted in a Bubble app, the text is analyzed by Google Vertex AI for sentiment and key themes. The insights are then stored in Airtable for team review and action.

Bubble + Google Vertex AI + Slack: When new content is created in Bubble, Google Vertex AI analyzes it to determine its readability and key topics. Slack then notifies content managers about the analysis results, allowing them to review and approve the content.

Google Vertex AI and Bubble 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.

About Bubble

Use Bubble's visual builder inside Latenode for flexible no-code apps within your automation workflows. Trigger flows based on Bubble events or update Bubble data from other services. Automate complex logic using JavaScript or AI, and scale your apps affordably thanks to Latenode's execution-time pricing and API-first design.

See how Latenode works

FAQ Google Vertex AI and Bubble

How can I connect my Google Vertex AI account to Bubble using Latenode?

To connect your Google Vertex AI account to Bubble 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 Bubble accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze user feedback from Bubble with Vertex AI?

Yes, you can! Latenode lets you automate sentiment analysis of Bubble data using Vertex AI, improving your app by understanding user opinions and needs faster.

What types of tasks can I perform by integrating Google Vertex AI with Bubble?

Integrating Google Vertex AI with Bubble allows you to perform various tasks, including:

  • Generate personalized content recommendations based on user data.
  • Automatically classify and tag support requests for faster response.
  • Create dynamic image descriptions for Bubble app media libraries.
  • Build a no-code chatbot that improves user engagement.
  • Automate data enrichment for Bubble databases with AI insights.

Can I use custom models from Vertex AI within my Bubble workflows?

Yes, Latenode allows you to integrate and utilize custom trained models from Google Vertex AI directly within your Bubble workflows for advanced AI processing.

Are there any limitations to the Google Vertex AI and Bubble integration on Latenode?

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

  • Large data transfers may impact workflow execution time.
  • Complex Vertex AI model configurations require appropriate expertise.
  • Real-time processing depends on Google Vertex AI API availability.

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