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

Add the OpenAI GPT Assistants Node
Select the OpenAI GPT Assistants node from the app selection panel on the right.

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

OpenAI GPT Assistants
β

Microsoft SQL Server

Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the OpenAI GPT Assistants and Microsoft SQL Server 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 OpenAI GPT Assistants and Microsoft SQL Server 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 donβt 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
β
AI Anthropic Claude 3
β

Microsoft SQL Server
Trigger on Webhook
β
OpenAI GPT Assistants
β
β
Iterator
β
Webhook response

Save and Activate the Scenario
After configuring OpenAI GPT Assistants, Microsoft SQL Server, 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 OpenAI GPT Assistants and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between OpenAI GPT Assistants and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI GPT Assistants and Microsoft SQL Server
OpenAI GPT Assistants + Microsoft SQL Server + Slack: When a new message is created for an assistant, the flow extracts a summary of the conversation using the assistant itself. This summary is then stored in a SQL Server database. Finally, a Slack message is sent to a designated channel to notify the team about the new conversation and its summary.
Microsoft SQL Server + OpenAI GPT Assistants + Google Sheets: This automation flow starts by executing a query in Microsoft SQL Server. The retrieved data is then passed to an OpenAI GPT Assistant for analysis. The insights generated by the AI are finally saved into a Google Sheet for reporting and further analysis.
OpenAI GPT Assistants and Microsoft SQL Server integration alternatives
About OpenAI GPT Assistants
Use OpenAI GPT Assistants within Latenode to automate complex tasks like customer support or content creation. Configure Assistants with prompts and integrate them into broader workflows. Chain them with file parsing, webhooks, or database updates for scalable, automated solutions. Benefit from Latenode's no-code flexibility and affordable execution-based pricing.
Similar apps
Related categories

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.
Similar apps
Related categories
See how Latenode works
FAQ OpenAI GPT Assistants and Microsoft SQL Server
How can I connect my OpenAI GPT Assistants account to Microsoft SQL Server using Latenode?
To connect your OpenAI GPT Assistants account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI GPT Assistants and click on "Connect".
- Authenticate your OpenAI GPT Assistants and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze customer support tickets using OpenAI and store insights?
Yes, you can. Latenode enables seamless integration, so you can automatically send tickets to OpenAI, analyze sentiment, and store the data in Microsoft SQL Server for reporting.
What types of tasks can I perform by integrating OpenAI GPT Assistants with Microsoft SQL Server?
Integrating OpenAI GPT Assistants with Microsoft SQL Server allows you to perform various tasks, including:
- Creating dynamic FAQs based on data stored in your SQL database.
- Generating personalized marketing emails with AI and tracking results.
- Analyzing customer feedback and storing sentiment scores in SQL.
- Automating data entry into SQL Server based on AI-processed information.
- Building a chatbot that answers questions using SQL Server data.
Can I use OpenAI GPT Assistants for real-time data enrichment in Latenode?
Yes, you can enrich data on-the-fly. Latenode's visual editor makes it easy to pass data to OpenAI and save the enhanced output to Microsoft SQL Server instantly.
Are there any limitations to the OpenAI GPT Assistants and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by OpenAI and Microsoft SQL Server may affect large-scale automations.
- The complexity of AI models and SQL queries can impact workflow execution time.
- Custom JavaScript code within Latenode requires coding knowledge for advanced tasks.