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Sync PostgreSQL data to Pinecone for AI-powered search. Latenode's visual editor simplifies complex data flows, letting you use JavaScript for custom transformations, while affordable execution-based pricing keeps costs low.
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Create a New Scenario to Connect PostgreSQL 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 PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Pinecone will be your first step. To do this, click "Choose an app," find PostgreSQL or Pinecone, 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 Pinecone Node
Next, click the plus (+) icon on the PostgreSQL node, select Pinecone from the list of available apps, and choose the action you need from the list of nodes within Pinecone.
PostgreSQL
โ
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 PostgreSQL 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 PostgreSQL and Pinecone Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
โ
Pinecone
Trigger on Webhook
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PostgreSQL
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring PostgreSQL, 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 PostgreSQL and Pinecone integration works as expected. Depending on your setup, data should flow between PostgreSQL and Pinecone (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Scrapeless + PostgreSQL + Pinecone: Scrapes data from a specified URL using Scrapeless, inserts the scraped data into a PostgreSQL database, and then uses Pinecone to create embeddings and store the data for similarity searches.
AI Agent + PostgreSQL + Pinecone: Uses an AI Agent to analyze customer reviews and determine sentiment. Stores sentiment scores in a PostgreSQL database, and uses Pinecone to enable similarity searches based on review content.
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 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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How can I connect my PostgreSQL account to Pinecone using Latenode?
To connect your PostgreSQL account to Pinecone on Latenode, follow these steps:
Can I create a real-time vector search from database updates?
Yes, you can! Latenode allows you to trigger Pinecone vector updates directly from PostgreSQL database changes. This ensures your search stays accurate and up-to-date automatically.
What types of tasks can I perform by integrating PostgreSQL with Pinecone?
Integrating PostgreSQL with Pinecone allows you to perform various tasks, including:
Can I transform my PostgreSQL data before inserting into Pinecone?
Yes, Latenode allows you to transform PostgreSQL data using JavaScript or AI steps before loading it into Pinecone for advanced data preparation.
Are there any limitations to the PostgreSQL and Pinecone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: