Fillout and Pinecone Integration

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Use Fillout form data to enrich Pinecone vector embeddings. Latenode’s visual editor simplifies the complex data transformations, letting you use JavaScript for advanced customization and scale your AI applications affordably.

Swap Apps

Fillout

Pinecone

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Fillout and Pinecone

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

Add the Fillout Node

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

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Fillout

Configure the Fillout

Click on the Fillout node to configure it. You can modify the Fillout 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 Pinecone Node

Next, click the plus (+) icon on the Fillout 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 Fillout 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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The action ID

Run node once

Set Up the Fillout 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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AI Anthropic Claude 3

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Save and Activate the Scenario

After configuring Fillout, 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 Fillout and Pinecone integration works as expected. Depending on your setup, data should flow between Fillout 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 Fillout and Pinecone

Fillout + Pinecone + AI Agent: When a new submission is received in Fillout, the data is used to upsert a vector in Pinecone, creating a knowledge base entry. An AI Agent then uses this knowledge base to respond to user queries.

Fillout + Pinecone + Slack: Upon a new submission in Fillout, the data updates a vector in Pinecone. If the updated vector meets specific criteria (determined by search), a Slack message alerts the team.

Fillout and Pinecone integration alternatives

About Fillout

Use Fillout forms in Latenode to collect data and instantly trigger workflows. Instead of manual exports, automate follow-ups, database updates, or personalized emails based on form responses. Latenode lets you parse, transform, and route Fillout data to any app with full control and no per-step pricing.

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 Fillout and Pinecone

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

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

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

Can I analyze Fillout responses using Pinecone vectors?

Yes, you can! Latenode allows seamless data transformation, enabling you to send Fillout data to Pinecone for advanced vector analysis. Unlock insights and personalize follow-ups based on response content.

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

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

  • Automatically create Pinecone vectors from new Fillout form submissions.
  • Update Pinecone vectors when Fillout responses are edited.
  • Query Pinecone based on form data for personalized experiences.
  • Categorize and tag Fillout responses based on Pinecone analysis.
  • Trigger automated workflows based on vector similarity scores.

Can I use JavaScript to manipulate Fillout data before Pinecone?

Yes! Latenode allows custom JavaScript code for advanced Fillout data transformation, enriching it before sending to Pinecone for vectorization and analysis.

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

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

  • Large Fillout datasets may require optimized processing for Pinecone indexing.
  • Rate limits on the Fillout API might affect high-volume data transfers.
  • Complex data transformations require JavaScript coding knowledge.

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