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

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

Save and Activate the Scenario
After configuring Google Vertex AI, Paperform, 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 Paperform integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Paperform (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 Paperform
Paperform + Google Vertex AI + Slack: When a new form submission is received in Paperform, it's sent to Google Vertex AI's Gemini model to analyze the text. A summary of the key insights is then posted to a dedicated Slack channel.
Paperform + Google Vertex AI + Google Sheets: When a new form submission is received in Paperform, it is sent to Google Vertex AI's Gemini model to categorize the feedback. The categorized results, along with the original submission data, are then logged in Google Sheets for further analysis.
Google Vertex AI and Paperform 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 Paperform
Automate form data handling with Paperform and Latenode. Collect responses and trigger follow-up actions: add leads to your CRM, create tasks in project management tools, or generate personalized documents. Latenode lets you process Paperform submissions with flexible logic, AI, and direct API integrations to scale your workflows without code.
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FAQ Google Vertex AI and Paperform
How can I connect my Google Vertex AI account to Paperform using Latenode?
To connect your Google Vertex AI account to Paperform 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 Paperform accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate form content using AI?
Yes, you can! Latenode lets you use Vertex AI to populate Paperform fields, saving time and ensuring consistent, high-quality data collection effortlessly.
What types of tasks can I perform by integrating Google Vertex AI with Paperform?
Integrating Google Vertex AI with Paperform allows you to perform various tasks, including:
- Automatically classify form submissions using Vertex AI's natural language processing.
- Generate personalized welcome messages for form submitters using AI.
- Analyze form data to identify trends and insights using Vertex AI's machine learning.
- Validate form responses against AI-powered knowledge bases in real-time.
- Translate form submissions into different languages using Vertex AI Translate.
What Vertex AI models can I use within Latenode workflows?
Latenode supports Vertex AI's text, image, and video models for advanced content processing and analysis in your automations.
Are there any limitations to the Google Vertex AI and Paperform integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Vertex AI and Paperform may affect workflow execution speed.
- Complex AI models may require significant processing time, impacting automation latency.
- Large data transfers between apps might incur additional data usage costs.