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

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Google Cloud Pub\Sub

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

Save and Activate the Scenario
After configuring Google Vertex AI, Google Cloud Pub\Sub, 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 Google Cloud Pub\Sub integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Google Cloud Pub\Sub (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 Google Cloud Pub\Sub
Google Cloud Pub/Sub + Google Vertex AI + Slack: When a new message is received by a Google Cloud Pub/Sub topic, the message content is sent to Google Vertex AI to generate content. The resulting content from Google Vertex AI is then sent as a message to a Slack channel.
Google Cloud Pub/Sub + Google Vertex AI + Google Sheets: Upon receiving a message in a Google Cloud Pub/Sub topic, the data triggers Google Vertex AI to analyze it. The analysis results are then added as a new row to a Google Sheet.
Google Vertex AI and Google Cloud Pub\Sub 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 Google Cloud Pub\Sub
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FAQ Google Vertex AI and Google Cloud Pub\Sub
How can I connect my Google Vertex AI account to Google Cloud Pub\Sub using Latenode?
To connect your Google Vertex AI account to Google Cloud Pub\Sub 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 Google Cloud Pub\Sub accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I trigger AI model retraining on new data using Google Vertex AI and Google Cloud Pub\Sub integration?
Yes, using Latenode you can. Automate retraining when new data arrives via Pub/Sub, keeping models current and boosting accuracy effortlessly through scheduled workflows and custom logic.
What types of tasks can I perform by integrating Google Vertex AI with Google Cloud Pub\Sub?
Integrating Google Vertex AI with Google Cloud Pub\Sub allows you to perform various tasks, including:
- Automatically processing messages from Pub/Sub using Vertex AI models.
- Triggering AI predictions based on real-time events from Pub/Sub topics.
- Scaling AI inference by distributing tasks across multiple Pub/Sub subscribers.
- Monitoring model performance based on Pub/Sub data streams using AI.
- Creating automated feedback loops to improve AI model accuracy continuously.
How does Latenode handle Google Vertex AI authentication securely?
Latenode employs secure OAuth 2.0 authentication. We store credentials encrypted, ensuring your Google Vertex AI data remains safe and protected.
Are there any limitations to the Google Vertex AI and Google Cloud Pub\Sub integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript coding.
- Rate limits of Google Vertex AI and Pub/Sub still apply through Latenode.
- Initial setup requires basic understanding of Google Cloud project configuration.