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

Add the Microsoft SQL Server Node
Select the Microsoft SQL Server node from the app selection panel on the right.


Microsoft SQL Server

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


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Authenticate OpenAI ChatGPT
Now, click the OpenAI ChatGPT node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI ChatGPT settings. Authentication allows you to use OpenAI ChatGPT through Latenode.
Configure the Microsoft SQL Server and OpenAI ChatGPT 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 Microsoft SQL Server and OpenAI ChatGPT 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 Microsoft SQL Server, OpenAI ChatGPT, 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 Microsoft SQL Server and OpenAI ChatGPT integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and OpenAI ChatGPT (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft SQL Server and OpenAI ChatGPT
Microsoft SQL Server + OpenAI ChatGPT + Slack: Monitors a Microsoft SQL Server database for new or updated rows based on a custom query. When changes are detected, the relevant data is sent to OpenAI ChatGPT for analysis to detect unusual activity. If unusual activity is flagged, a message is sent to a designated Slack channel.
Google Sheets + OpenAI ChatGPT + Microsoft SQL Server: When a new row is added to a Google Sheet, the data is sent to OpenAI ChatGPT to categorize customer feedback. The categorized feedback is then stored in a Microsoft SQL Server database.
Microsoft SQL Server and OpenAI ChatGPT integration alternatives

About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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About OpenAI ChatGPT
Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.
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See how Latenode works
FAQ Microsoft SQL Server and OpenAI ChatGPT
How can I connect my Microsoft SQL Server account to OpenAI ChatGPT using Latenode?
To connect your Microsoft SQL Server account to OpenAI ChatGPT on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft SQL Server and click on "Connect".
- Authenticate your Microsoft SQL Server and OpenAI ChatGPT accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze SQL data with AI insights using this integration?
Yes, you can. Latenode lets you send SQL data to OpenAI ChatGPT for analysis and generate reports. Get smart insights with no-code AI and scalable workflows.
What types of tasks can I perform by integrating Microsoft SQL Server with OpenAI ChatGPT?
Integrating Microsoft SQL Server with OpenAI ChatGPT allows you to perform various tasks, including:
- Generate summaries of SQL data using OpenAI's language models.
- Create AI-driven reports based on database information.
- Automate customer support responses using SQL data.
- Enrich database records with AI-generated metadata.
- Translate database queries into natural language questions.
HowdoIsecurelyaccessmyMicrosoftSQLServerdatafromLatenode?
Latenode uses secure connections and encryption. You can also use environment variables to store sensitive credentials securely, protecting your data.
Are there any limitations to the Microsoft SQL Server and OpenAI ChatGPT integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require optimization for efficient AI processing.
- OpenAI ChatGPT's token limits can affect the size of data processed in each request.
- Rate limits on both Microsoft SQL Server and OpenAI ChatGPT APIs can impact workflow speed.