How to connect Google Vertex AI and Softr
Create a New Scenario to Connect Google Vertex AI and Softr
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 Softr will be your first step. To do this, click "Choose an app," find Google Vertex AI or Softr, 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 Softr Node
Next, click the plus (+) icon on the Google Vertex AI node, select Softr from the list of available apps, and choose the action you need from the list of nodes within Softr.

Google Vertex AI
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Softr

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

JavaScript
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AI Anthropic Claude 3
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Softr
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Softr, 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 Softr integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Softr (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 Softr
Softr + Google Vertex AI + Airtable: When new customer feedback is submitted through Softr, it's analyzed using Google Vertex AI to extract key insights. These insights are then stored in an Airtable base for tracking and analysis.
Softr + Google Vertex AI + Slack: When new content is added to Softr, a summary is generated using Google Vertex AI. This summary is then posted to a designated Slack channel to keep the team informed.
Google Vertex AI and Softr 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 Softr
Use Softr in Latenode to build custom web apps and client portals, then automate data flow between them and your backend. Update Softr content via Latenode workflows triggered by external events or scheduled tasks. Simplify app deployment and maintenance; connect it to other services for a seamless user experience.
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See how Latenode works
FAQ Google Vertex AI and Softr
How can I connect my Google Vertex AI account to Softr using Latenode?
To connect your Google Vertex AI account to Softr 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 Softr accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate content for my Softr website using Google Vertex AI?
Yes, you can! Latenode enables seamless integration to automate content creation, enriching your Softr site with AI-powered text. Benefit from automated workflows and enhanced efficiency.
What types of tasks can I perform by integrating Google Vertex AI with Softr?
Integrating Google Vertex AI with Softr allows you to perform various tasks, including:
- Generate blog post drafts based on user input in Softr forms.
- Automatically classify and tag support tickets submitted via Softr.
- Personalize website content in Softr based on Google Vertex AI analysis.
- Create dynamic FAQs for Softr sites using AI-powered question answering.
- Summarize user feedback collected through Softr into actionable insights.
How do I manage Google Vertex AI credentials securely in Latenode?
Latenode offers secure credential storage. Your Google Vertex AI keys are encrypted and protected, ensuring safe access within workflows.
Are there any limitations to the Google Vertex AI and Softr integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI models may require significant processing time.
- Rate limits apply to both Google Vertex AI and Softr APIs.
- Custom JavaScript code may be required for advanced data transformations.