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

Add the Contacts+ Node
Select the Contacts+ node from the app selection panel on the right.


Contacts+

Configure the Contacts+
Click on the Contacts+ node to configure it. You can modify the Contacts+ URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Vertex AI Node
Next, click the plus (+) icon on the Contacts+ 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.


Contacts+
âš™
Google Vertex AI

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.
Configure the Contacts+ 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.
Set Up the Contacts+ 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.

JavaScript
âš™
AI Anthropic Claude 3
âš™
Google Vertex AI
Trigger on Webhook
âš™

Contacts+
âš™
âš™
Iterator
âš™
Webhook response

Save and Activate the Scenario
After configuring Contacts+, 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 Contacts+ and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Contacts+ 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 Contacts+ and Google Vertex AI
Contacts+ + Google Vertex AI + Slack: When a new contact is added in Contacts+, use Google Vertex AI to generate a summary of their potential value based on available contact details. Then, post this summary to a designated Slack channel for the team to review.
HubSpot + Google Vertex AI + Contacts+: When a new email engagement is logged in HubSpot, use Google Vertex AI to extract key insights from the email body. Then, update the corresponding contact's profile in Contacts+ with these insights as notes or tags.
Contacts+ and Google Vertex AI integration alternatives

About Contacts+
Use Contacts+ in Latenode to centralize contact data across platforms. Automate cleaning, deduplication, and enrichment processes. Sync updated contact details to your CRM or marketing tools. Latenode lets you build flexible flows and custom logic to manage contacts more efficiently and without manual data entry.
Similar apps
Related categories
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.
Similar apps
Related categories
See how Latenode works
FAQ Contacts+ and Google Vertex AI
How can I connect my Contacts+ account to Google Vertex AI using Latenode?
To connect your Contacts+ account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Contacts+ and click on "Connect".
- Authenticate your Contacts+ and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich contact data using AI insights?
Yes, you can! Latenode lets you automate contact enrichment using Google Vertex AI's natural language processing to uncover hidden patterns and ensure higher quality data.
What types of tasks can I perform by integrating Contacts+ with Google Vertex AI?
Integrating Contacts+ with Google Vertex AI allows you to perform various tasks, including:
- Automatically categorize contacts based on their industry using AI.
- Generate personalized email introductions for new contacts.
- Summarize contact interaction history using Vertex AI.
- Identify key decision-makers within organizations.
- Analyze contact sentiment to personalize customer service.
What contact fields can I access from Contacts+ in Latenode?
Latenode allows accessing all standard and custom fields in Contacts+, enabling complete data mapping within your automation workflows.
Are there any limitations to the Contacts+ and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large-scale data processing may incur higher Google Vertex AI costs.
- Custom AI model training requires familiarity with Google Vertex AI.
- Real-time contact enrichment is subject to Google Vertex AI API availability.