How to connect PostgreSQL and OpenAI Responses
Create a New Scenario to Connect PostgreSQL and OpenAI Responses
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 PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or OpenAI Responses will be your first step. To do this, click "Choose an app," find PostgreSQL or OpenAI Responses, and select the appropriate trigger to start the scenario.

Add the PostgreSQL Node
Select the PostgreSQL node from the app selection panel on the right.


PostgreSQL

Configure the PostgreSQL
Click on the PostgreSQL node to configure it. You can modify the PostgreSQL URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI Responses Node
Next, click the plus (+) icon on the PostgreSQL node, select OpenAI Responses from the list of available apps, and choose the action you need from the list of nodes within OpenAI Responses.


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OpenAI Responses

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

JavaScript
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AI Anthropic Claude 3
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OpenAI Responses
Trigger on Webhook
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring PostgreSQL, OpenAI Responses, 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 PostgreSQL and OpenAI Responses integration works as expected. Depending on your setup, data should flow between PostgreSQL and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect PostgreSQL and OpenAI Responses
PostgreSQL + OpenAI Responses + Slack: When a new or updated row is detected in PostgreSQL, the data is sent to OpenAI to generate a summary. This summary is then sent to a designated Slack channel.
OpenAI Responses + PostgreSQL + Google Sheets: When OpenAI generates a response, it's logged into a PostgreSQL database. Simultaneously, the new PostgreSQL row triggers an update to a Google Sheet to track data changes.
PostgreSQL and OpenAI Responses integration alternatives

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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About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
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See how Latenode works
FAQ PostgreSQL and OpenAI Responses
How can I connect my PostgreSQL account to OpenAI Responses using Latenode?
To connect your PostgreSQL account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PostgreSQL and click on "Connect".
- Authenticate your PostgreSQL and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze database records using OpenAI?
Yes, you can! Latenode lets you send PostgreSQL data to OpenAI for sentiment analysis or summarization. This helps automate reporting & gain insights without writing code.
What types of tasks can I perform by integrating PostgreSQL with OpenAI Responses?
Integrating PostgreSQL with OpenAI Responses allows you to perform various tasks, including:
- Automatically generating summaries of database records.
- Classifying customer feedback stored in PostgreSQL.
- Creating AI-powered search indices for database content.
- Generating personalized email responses based on user data.
- Automating data validation using AI-powered rules.
How do I ensure data security when connecting PostgreSQL?
Latenode uses secure connections and encryption. You control the data shared with OpenAI Responses, ensuring data privacy and compliance.
Are there any limitations to the PostgreSQL and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets might require optimized queries for efficient processing.
- OpenAI's token limits can impact the size of data processed in each request.
- Complex workflows may require JavaScript for advanced data transformation.