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Automate parsing unstructured data from Airparser into structured vectors in Pinecone. Latenode's visual editor simplifies building this pipeline, offering affordable pay-per-execution pricing and seamless customization with JavaScript for complex logic.
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Pinecone
Airparser
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Create a New Scenario to Connect Pinecone and Airparser
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 Pinecone, triggered by another scenario, or executed manually (for testing purposes). In most cases, Pinecone or Airparser will be your first step. To do this, click "Choose an app," find Pinecone or Airparser, and select the appropriate trigger to start the scenario.
Add the Pinecone Node
Select the Pinecone node from the app selection panel on the right.
Pinecone
Configure the Pinecone
Click on the Pinecone node to configure it. You can modify the Pinecone URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Airparser Node
Next, click the plus (+) icon on the Pinecone node, select Airparser from the list of available apps, and choose the action you need from the list of nodes within Airparser.
Pinecone
โ
Airparser
Authenticate Airparser
Now, click the Airparser node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Airparser settings. Authentication allows you to use Airparser through Latenode.
Configure the Pinecone and Airparser 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 Pinecone and Airparser 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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Airparser
Trigger on Webhook
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Pinecone
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Pinecone, Airparser, 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 Pinecone and Airparser integration works as expected. Depending on your setup, data should flow between Pinecone and Airparser (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Airparser + Pinecone + Google Sheets: When a new document is uploaded to Airparser, the text is extracted and used to upsert a vector in Pinecone. Then, a Google Sheet is updated with the document ID and the Pinecone vector ID.
Airparser + Pinecone + Slack: When a new document is uploaded to Airparser, the text is extracted and stored in Pinecone as a vector. If a search with text exceeds a defined threshold, a message is sent to a Slack channel.
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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About Airparser
Airparser in Latenode extracts data from PDFs, emails, and documents. Automate data entry by feeding parsed content directly into your CRM or database. Use Latenode's logic functions to validate or transform data, then trigger actions like sending notifications or updating records. Scale document processing without complex code.
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How can I connect my Pinecone account to Airparser using Latenode?
To connect your Pinecone account to Airparser on Latenode, follow these steps:
Can I automatically update Pinecone with data extracted from Airparser?
Yes, you can! Latenode's visual editor makes it simple to map Airparser's extracted data directly to your Pinecone vectors, ensuring your database always reflects the latest parsed information.
What types of tasks can I perform by integrating Pinecone with Airparser?
Integrating Pinecone with Airparser allows you to perform various tasks, including:
What kind of Pinecone data can Latenode manage efficiently?
Latenode efficiently manages vector embeddings and metadata, scaling to handle large datasets for advanced AI applications with robust performance.
Are there any limitations to the Pinecone and Airparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: