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Automate visual search: Index image features from Cloudinary in Pinecone for semantic similarity. Latenode’s visual editor makes this complex AI workflow accessible, while affordable execution-based pricing lets you scale efficiently.
Connect Pinecone and Cloudinary in minutes with Latenode.
Create Pinecone to Cloudinary workflow
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Pinecone
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Create a New Scenario to Connect Pinecone and Cloudinary
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 Pinecone, triggered by another scenario, or executed manually (for testing purposes). In most cases, Pinecone or Cloudinary will be your first step. To do this, click "Choose an app," find Pinecone or Cloudinary, 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 Cloudinary Node
Next, click the plus (+) icon on the Pinecone node, select Cloudinary from the list of available apps, and choose the action you need from the list of nodes within Cloudinary.
Pinecone
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Cloudinary
Authenticate Cloudinary
Now, click the Cloudinary node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Cloudinary settings. Authentication allows you to use Cloudinary through Latenode.
Configure the Pinecone and Cloudinary 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 Cloudinary 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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Cloudinary
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, Cloudinary, 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 Pinecone and Cloudinary integration works as expected. Depending on your setup, data should flow between Pinecone and Cloudinary (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Cloudinary + Pinecone + Airtable: When a new resource is uploaded to Cloudinary, its vector representation is upserted into Pinecone. Then, the resource's metadata and Pinecone vector ID are stored in Airtable.
Cloudinary + Pinecone + Airtable: When a new resource is tagged in Cloudinary, use the tag as text to search Pinecone. If a relevant vector is found in Pinecone, store both the Cloudinary resource details and the Pinecone vector details in Airtable.
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 Cloudinary
Automate image and video optimization with Cloudinary in Latenode. Resize, convert, and deliver media assets based on triggers or data from any app. Streamline content workflows by integrating Cloudinary’s powerful transformations directly into your automated processes, reducing manual work. Scale efficiently and pay only for execution time.
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How can I connect my Pinecone account to Cloudinary using Latenode?
To connect your Pinecone account to Cloudinary on Latenode, follow these steps:
Can I build a visual image search using vectors?
Yes! Latenode simplifies building visual search using Pinecone vectors of Cloudinary images. Combine no-code blocks with JavaScript for AI-powered search and fast, scalable indexing.
What types of tasks can I perform by integrating Pinecone with Cloudinary?
Integrating Pinecone with Cloudinary allows you to perform various tasks, including:
How do I manage my Pinecone API keys securely in Latenode?
Latenode offers secure storage for your Pinecone API keys. Use environment variables for enhanced security and team collaboration without exposing credentials.
Are there any limitations to the Pinecone and Cloudinary integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: