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Enrich Pinecone's vector search with structured data from Microsoft SQL Server for smarter AI applications. Latenode's visual editor simplifies complex data flows, while affordable execution-based pricing scales easily as your AI logic grows.
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Create a New Scenario to Connect Microsoft SQL Server and Pinecone
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ 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 Pinecone will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Pinecone, 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 Pinecone Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Pinecone from the list of available apps, and choose the action you need from the list of nodes within Pinecone.
Microsoft SQL Server
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Pinecone
Authenticate Pinecone
Now, click the Pinecone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Pinecone settings. Authentication allows you to use Pinecone through Latenode.
Configure the Microsoft SQL Server and Pinecone 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 Pinecone 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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Pinecone
Trigger on Webhook
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Microsoft SQL Server
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Microsoft SQL Server, Pinecone, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Microsoft SQL Server and Pinecone integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Pinecone (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Microsoft SQL Server + Pinecone + OpenAI ChatGPT: When a new or updated row appears in Microsoft SQL Server, the data is used to create embeddings in Pinecone. Then, OpenAI ChatGPT summarizes insights based on those embeddings.
Pinecone + Microsoft SQL Server + Google Sheets: When a search is performed in Pinecone, the query and results are logged in Microsoft SQL Server. These logs are then used to update a Google Sheet for visualizing usage trends.
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 Pinecone
Use Pinecone in Latenode to build scalable vector search workflows. Store embeddings from AI models, then use them to find relevant data. Automate document retrieval or personalized recommendations. Connect Pinecone with other apps via Latenode, bypassing complex coding and scaling easily with our pay-as-you-go pricing.
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Connect Microsoft SQL Server and Pinecone in minutes with Latenode.
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How can I connect my Microsoft SQL Server account to Pinecone using Latenode?
To connect your Microsoft SQL Server account to Pinecone on Latenode, follow these steps:
Can I update Pinecone vectors with new SQL data?
Yes! Latenode simplifies this. Automate updates based on SQL changes, keeping your Pinecone index current without code. Scale effortlessly as data grows.
What types of tasks can I perform by integrating Microsoft SQL Server with Pinecone?
Integrating Microsoft SQL Server with Pinecone allows you to perform various tasks, including:
How does Latenode handle large Microsoft SQL Server datasets?
Latenode offers scalable data processing, handling large SQL datasets efficiently using batch operations and optimized data transfer methods.
Are there any limitations to the Microsoft SQL Server and Pinecone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: