Google Vertex AI and Supabase Integration

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Automate AI-powered data enrichment by connecting Google Vertex AI to your Supabase database. Latenode’s visual editor and affordable execution-based pricing make it easy to build scalable AI applications. Customize logic with JavaScript for advanced use cases.

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Google Vertex AI

Supabase

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Supabase

Create a New Scenario to Connect Google Vertex AI and Supabase

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

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

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Authenticate Supabase

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

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Configure the Google Vertex AI and Supabase 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 Supabase 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, Supabase, 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 Supabase integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Supabase (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 Supabase

Supabase + Google Vertex AI + Slack: When new customer feedback is added to Supabase, analyze the feedback using Google Vertex AI to determine sentiment. Store the sentiment score back in Supabase and notify the support team on Slack with the feedback and its sentiment.

Supabase + Google Vertex AI + Discord bot: Monitor Supabase for new data. If Vertex AI detects anomalies in the new data, send an alert message to a specific Discord channel via a Discord bot.

Google Vertex AI and Supabase 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 Supabase

Use Supabase in Latenode to automate backend tasks: store user data, manage authentication, and trigger functions based on database changes. Integrate Supabase with other services in a visual workflow. Latenode provides flexibility with no-code tools, JS scripts, and direct database connections for advanced automation scenarios.

See how Latenode works

FAQ Google Vertex AI and Supabase

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

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

Can I analyze user feedback stored in Supabase using Vertex AI?

Yes, you can! Latenode allows seamless data transfer, letting you use Vertex AI to analyze Supabase data. Gain actionable insights with AI-powered sentiment analysis, improving user experience.

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

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

  • Categorizing customer support tickets using Vertex AI and storing results in Supabase.
  • Generating personalized content recommendations based on user data in Supabase.
  • Detecting fraudulent activity by analyzing transaction data stored in Supabase.
  • Predicting customer churn by analyzing user behavior data stored in Supabase.
  • Building a chatbot that answers questions using data stored in Supabase.

HowdoesLatenodehandleGoogleVertexAIAPIauthentication?

Latenode simplifies authentication via secure credential storage and management, letting you easily connect and manage Google Vertex AI API access in your workflows.

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

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

  • Large data transfers might incur additional costs from both Google Vertex AI and Supabase.
  • Complex workflows with many steps could impact execution time.
  • Custom JavaScript code requires debugging and maintenance.

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