Google Vertex AI and Tamtam Integration

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Connect Google Vertex AI to Tamtam for AI-powered alerts and summaries. Latenode's visual editor simplifies custom logic, while affordable execution-based pricing helps automate high-volume AI tasks without overspending, and scale instantly.

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Google Vertex AI

Tamtam

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Tamtam

Create a New Scenario to Connect Google Vertex AI and Tamtam

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 Tamtam will be your first step. To do this, click "Choose an app," find Google Vertex AI or Tamtam, 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.

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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.

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Run node once

Add the Tamtam Node

Next, click the plus (+) icon on the Google Vertex AI node, select Tamtam from the list of available apps, and choose the action you need from the list of nodes within Tamtam.

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Authenticate Tamtam

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

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Configure the Google Vertex AI and Tamtam Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Google Vertex AI and Tamtam 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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Save and Activate the Scenario

After configuring Google Vertex AI, Tamtam, 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 Tamtam integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Tamtam (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 Tamtam

Tamtam + Google Vertex AI + Google Sheets: When a new message is posted in a Tamtam channel, analyze its sentiment using Google Vertex AI's Gemini model. Then, add the message and sentiment score to a Google Sheet for tracking customer feedback.

Tamtam + Google Vertex AI + Slack: When a new message is posted in Tamtam, use Google Vertex AI to generate a summary of the message content, and post this summary to a designated Slack channel to alert the team of new issues.

Google Vertex AI and Tamtam 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.

About Tamtam

Use Tamtam in Latenode to automate messaging tasks. Send alerts, notifications, or updates based on triggers from other apps. Build workflows to distribute information automatically. Tamtam integration in Latenode avoids manual message sending, saving time. Plus, customize messaging flows with JS or AI for targeted and personalized comms.

See how Latenode works

FAQ Google Vertex AI and Tamtam

How can I connect my Google Vertex AI account to Tamtam using Latenode?

To connect your Google Vertex AI account to Tamtam 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 Tamtam accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze Tamtam messages with Vertex AI?

Yes, you can! Latenode lets you seamlessly send Tamtam data to Vertex AI for sentiment analysis, topic extraction, and more. Improve insights with AI-powered automations.

What types of tasks can I perform by integrating Google Vertex AI with Tamtam?

Integrating Google Vertex AI with Tamtam allows you to perform various tasks, including:

  • Automatically translate Tamtam messages into multiple languages.
  • Analyze customer sentiment from Tamtam conversations.
  • Summarize long Tamtam threads using Vertex AI's text generation.
  • Route urgent Tamtam messages to specific teams based on content.
  • Generate automated responses to common questions in Tamtam.

How does Latenode simplify Vertex AI automation?

Latenode’s visual editor offers drag-and-drop simplicity for complex Vertex AI workflows. Build powerful automations without extensive coding, scaling as needed.

Are there any limitations to the Google Vertex AI and Tamtam integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large volumes of data may impact Vertex AI processing times.
  • Initial setup requires familiarity with both platforms.
  • Complex workflows may require JavaScript for customization.

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