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Use Google AI to enrich data in PostgreSQL. Latenode's visual editor simplifies complex AI integrations, while affordable execution-based pricing makes smart data management scalable and cost-effective for any business.
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Create a New Scenario to Connect Google AI and PostgreSQL
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or PostgreSQL will be your first step. To do this, click "Choose an app," find Google AI or PostgreSQL, and select the appropriate trigger to start the scenario.
Add the Google AI Node
Select the Google AI node from the app selection panel on the right.
Google AI
Configure the Google AI
Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the PostgreSQL Node
Next, click the plus (+) icon on the Google AI node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.
Google AI
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PostgreSQL
Authenticate PostgreSQL
Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.
Configure the Google AI and PostgreSQL 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 AI and PostgreSQL Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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PostgreSQL
Trigger on Webhook
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Google AI
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google AI, PostgreSQL, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Google AI and PostgreSQL integration works as expected. Depending on your setup, data should flow between Google AI and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
PostgreSQL + Google AI + Slack: When a new or updated row containing customer feedback is added to PostgreSQL, the data is sent to Google AI's Gemini model for sentiment analysis. The analysis results are then posted to a dedicated Slack channel.
PostgreSQL + Google AI + Google Sheets: This automation tracks PostgreSQL database performance using custom SQL queries. It uses Google AI's Gemini model to summarize any anomalies detected and logs these insights into a Google Sheet for tracking purposes.
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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How can I connect my Google AI account to PostgreSQL using Latenode?
To connect your Google AI account to PostgreSQL on Latenode, follow these steps:
Can I analyze customer reviews and store insights?
Yes, you can! Latenode allows you to easily analyze Google AI insights from customer reviews and store structured data in PostgreSQL for reporting and further analysis. Automate for efficiency.
What types of tasks can I perform by integrating Google AI with PostgreSQL?
Integrating Google AI with PostgreSQL allows you to perform various tasks, including:
How secure is my Google AI data when using Latenode?
Latenode uses secure authentication methods and encrypts data in transit and at rest, ensuring Google AI data remains protected.
Are there any limitations to the Google AI and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: