LlamaCloud and Pipefy Integration

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Automate lead enrichment: connect LlamaCloud’s AI insights to Pipefy for enhanced customer profiles. Use Latenode’s visual editor to customize your logic and scale affordably by paying only for execution time.

Swap Apps

LlamaCloud

Pipefy

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LlamaCloud and Pipefy

Create a New Scenario to Connect LlamaCloud and Pipefy

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

Add the LlamaCloud Node

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

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LlamaCloud

Configure the LlamaCloud

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

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Connect LlamaCloud

Sign In
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Run node once

Add the Pipefy Node

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

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Pipefy

Authenticate Pipefy

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

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Configure the LlamaCloud and Pipefy 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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Pipefy Oauth 2.0

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The action ID

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Run node once

Set Up the LlamaCloud and Pipefy 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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Webhook response

Save and Activate the Scenario

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

Most powerful ways to connect LlamaCloud and Pipefy

LlamaCloud + Pipefy + Slack: When a new document is parsed in LlamaCloud, a card is created in Pipefy to manage the document review. A notification is sent to a Slack channel to alert the team about the new card.

Pipefy + LlamaCloud + Google Sheets: When a card is created in Pipefy, LlamaCloud extracts data from the card. This extracted data is then added as a new row in a Google Sheet for reporting and analysis.

LlamaCloud and Pipefy integration alternatives

About LlamaCloud

Use LlamaCloud inside Latenode to streamline AI model deployment. Build workflows that automate prompt engineering, A/B testing, and model evaluation. Connect data sources, trigger LlamaCloud jobs, and manage results via webhooks or REST. Scale AI tasks and track performance visually without complex code.

About Pipefy

Orchestrate Pipefy process management inside Latenode for end-to-end automation. Trigger flows on card changes, create new cards from external data, and sync Pipefy data with other apps. Bypass manual updates and build complex workflows using visual tools, code, or AI — without step limits or vendor lock-in.

LlamaCloud + Pipefy integration

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FAQ LlamaCloud and Pipefy

How can I connect my LlamaCloud account to Pipefy using Latenode?

To connect your LlamaCloud account to Pipefy on Latenode, follow these steps:

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

Can I automate support ticket creation from LlamaCloud insights using Pipefy?

Yes, you can! Latenode allows you to create automated workflows that trigger Pipefy card creation based on LlamaCloud analysis. Improve response times and streamline support processes.

What types of tasks can I perform by integrating LlamaCloud with Pipefy?

Integrating LlamaCloud with Pipefy allows you to perform various tasks, including:

  • Automatically creating Pipefy cards for high-priority LlamaCloud insights.
  • Updating Pipefy cards with new sentiment analysis data from LlamaCloud.
  • Triggering LlamaCloud analysis when a new card is created in Pipefy.
  • Sending notifications to relevant teams based on LlamaCloud & Pipefy data.
  • Generating reports combining data from both LlamaCloud and Pipefy.

Can I use JavaScript to extend LlamaCloud functionality on Latenode?

Yes! Latenode allows you to use JavaScript blocks to customize and extend LlamaCloud's functionality, adding custom logic and data transformations.

Are there any limitations to the LlamaCloud and Pipefy integration on Latenode?

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

  • Complex LlamaCloud queries may impact workflow execution time.
  • Real-time data synchronization depends on the API rate limits of both services.
  • Custom JavaScript code requires debugging and may introduce errors.

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