Pinecone and Feedly Integration

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Automatically enrich your Pinecone vector database with content from Feedly using Latenode's visual editor. Customize data extraction with JavaScript, scale affordably, and build advanced workflows to leverage real-time insights.

Swap Apps

Pinecone

Feedly

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Pinecone and Feedly

Create a New Scenario to Connect Pinecone and Feedly

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 Feedly will be your first step. To do this, click "Choose an app," find Pinecone or Feedly, 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.

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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.

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Sign In

Run node once

Add the Feedly Node

Next, click the plus (+) icon on the Pinecone node, select Feedly from the list of available apps, and choose the action you need from the list of nodes within Feedly.

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Authenticate Feedly

Now, click the Feedly node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Feedly settings. Authentication allows you to use Feedly through Latenode.

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Sign In

Run node once

Configure the Pinecone and Feedly Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Pinecone and Feedly 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 don’t 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.
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Save and Activate the Scenario

After configuring Pinecone, Feedly, 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 Feedly integration works as expected. Depending on your setup, data should flow between Pinecone and Feedly (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Pinecone and Feedly

Feedly + Pinecone + Slack: When a new article appears in a Feedly feed, its content is used to search for relevant vectors in Pinecone. If relevant vectors are found, a message containing the article link is sent to a designated Slack channel.

Feedly + Pinecone + Twitter: Automatically tweet Feedly articles about AI. When a new article appears in a Feedly feed, its content is used to search for relevant vectors in Pinecone to get related data. Then, the article is shared on Twitter.

Pinecone and Feedly integration alternatives

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.

About Feedly

Aggregate and filter Feedly articles within Latenode to automate content-driven workflows. Track brand mentions, industry trends, or competitor activity, then instantly trigger actions like posting to social media, updating databases, or notifying teams—all based on custom rules and logic.

See how Latenode works

FAQ Pinecone and Feedly

How can I connect my Pinecone account to Feedly using Latenode?

To connect your Pinecone account to Feedly on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Pinecone and click on "Connect".
  • Authenticate your Pinecone and Feedly accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze Feedly articles and store embeddings in Pinecone?

Yes, you can! Latenode allows you to create a workflow that extracts data from Feedly, generates embeddings using AI blocks, and stores them in Pinecone for semantic search. Supercharge your insights!

What types of tasks can I perform by integrating Pinecone with Feedly?

Integrating Pinecone with Feedly allows you to perform various tasks, including:

  • Store Feedly article embeddings in Pinecone for semantic search.
  • Automatically update Pinecone indexes with new Feedly content.
  • Use Pinecone to filter relevant articles based on user profiles.
  • Trigger actions based on semantic similarity scores.
  • Create personalized content recommendations using Feedly and Pinecone.

How does Latenode handle scaling my Pinecone data ingestion?

Latenode allows scaling via parallel execution and efficient node management. Handle large Feedly volumes and update your Pinecone index effortlessly.

Are there any limitations to the Pinecone and Feedly integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits of the Feedly and Pinecone APIs may affect performance.
  • Complex data transformations may require custom JavaScript code.
  • Initial setup requires familiarity with Pinecone indexing concepts.

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