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

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Authenticate Coda
Now, click the Coda node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Coda settings. Authentication allows you to use Coda through Latenode.
Configure the Google Vertex AI and Coda 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 Coda 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, Coda, 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 Coda integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Coda (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 Coda
Coda + Google Vertex AI + Slack: When a new row is added to a Coda document (representing customer feedback), the feedback is analyzed using Google Vertex AI to determine sentiment. Based on the sentiment analysis, a message is sent to a dedicated Slack channel to alert the relevant team.
Coda + Google Vertex AI + Gmail: When a row in a Coda document is updated, Google Vertex AI summarizes the changes made in that row. Then, an email containing the summary of changes is sent via Gmail to a specified recipient.
Google Vertex AI and Coda 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 Coda
Use Coda within Latenode to automate document generation or data aggregation workflows. Update Coda docs with real-time data from other apps, or trigger actions based on Coda table changes. Latenode provides visual flow design and custom logic to build flexible, scalable Coda integrations without complex scripting.
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FAQ Google Vertex AI and Coda
How can I connect my Google Vertex AI account to Coda using Latenode?
To connect your Google Vertex AI account to Coda 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 Coda accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate Coda reports from Vertex AI insights?
Yes, you can! Latenode enables seamless data transfer, so Vertex AI analysis results automatically populate Coda reports, saving time and improving decision-making speed.
What types of tasks can I perform by integrating Google Vertex AI with Coda?
Integrating Google Vertex AI with Coda allows you to perform various tasks, including:
- Summarizing customer feedback from Coda into actionable insights using Vertex AI.
- Generating marketing copy in Vertex AI and saving it directly to a Coda document.
- Classifying support tickets in Coda using Vertex AI's natural language processing.
- Creating personalized customer experiences by triggering Vertex AI from Coda data.
- Predicting project risks by analyzing Coda project data using Vertex AI models.
How secure is the Google Vertex AI integration within Latenode?
Latenode employs robust security measures, including encryption, to protect your data during Google Vertex AI and Coda integration workflows.
Are there any limitations to the Google Vertex AI and Coda integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution speed.
- Complex Vertex AI model deployments require advanced setup.
- Coda API rate limits may affect high-volume data operations.