Canny and Pinecone Integration

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Enrich Canny feedback data with Pinecone's vector search using Latenode. Build custom workflows with no-code ease, then use JavaScript for advanced filtering and analysis, all while scaling affordably.

Swap Apps

Canny

Pinecone

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Canny and Pinecone

Create a New Scenario to Connect Canny and Pinecone

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 Canny, triggered by another scenario, or executed manually (for testing purposes). In most cases, Canny or Pinecone will be your first step. To do this, click "Choose an app," find Canny or Pinecone, and select the appropriate trigger to start the scenario.

Add the Canny Node

Select the Canny node from the app selection panel on the right.

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Canny

Configure the Canny

Click on the Canny node to configure it. You can modify the Canny URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Canny

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Connect Canny

Sign In

Run node once

Add the Pinecone Node

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

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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.

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Pinecone

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Connect Pinecone

Sign In

Run node once

Configure the Canny 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.

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Pinecone Oauth 2.0

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Select an action *

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The action ID

Run node once

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

Most powerful ways to connect Canny and Pinecone

Canny + Pinecone + Slack: When a post's status changes in Canny (e.g., from 'planned' to 'in progress'), the automation searches Pinecone for related information using the post's content as a vector. It then sends this contextual information to a designated Slack channel to keep stakeholders informed.

Canny + Pinecone + Jira: When a new post is created in Canny, the automation uses Pinecone to search for similar existing feature requests. A Jira ticket is then created, linking to the Canny post and any similar requests found by Pinecone, to streamline issue tracking and prevent duplicate feature requests.

Canny and Pinecone integration alternatives

About Canny

Integrate Canny with Latenode to automate feedback management. Capture user suggestions and bug reports directly, then route them to the right teams. Use AI to categorize input, update task trackers, and notify users of progress, automating the feedback loop and improving responsiveness.

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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.

See how Latenode works

FAQ Canny and Pinecone

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

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

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

Can I analyze Canny feedback with Pinecone's vector search?

Yes, with Latenode! Use our AI blocks to vectorize Canny feedback and store it in Pinecone. Analyze trends and surface insights instantly, all without coding.

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

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

  • Automatically adding new Canny posts as vectors to Pinecone.
  • Searching Pinecone for similar feedback based on new posts.
  • Updating existing Pinecone vectors when Canny posts are updated.
  • Triggering alerts for trending feedback identified by Pinecone.
  • Analyzing feedback sentiment and storing results in Pinecone.

Can I use JavaScript code to transform Canny data before sending it to Pinecone?

Yes! Latenode lets you use JavaScript code blocks to transform and enrich Canny data before syncing it to Pinecone.

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

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

  • Rate limits of Canny and Pinecone APIs may affect high-volume workflows.
  • Initial vectorization of large Canny datasets can take significant time.
  • Complex data transformations may require advanced JavaScript knowledge.

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