Pipefy and LlamaCloud Integration

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Enrich Pipefy workflows with AI insights using LlamaCloud. Latenode's visual editor simplifies integrating these tools, adding custom logic via JavaScript if needed, and scales affordably as your automation needs grow.

Swap Apps

Pipefy

LlamaCloud

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Pipefy and LlamaCloud

Create a New Scenario to Connect Pipefy and LlamaCloud

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

Add the Pipefy Node

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

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Pipefy

Configure the Pipefy

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

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Run node once

Add the LlamaCloud Node

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

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LlamaCloud

Authenticate LlamaCloud

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

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Configure the Pipefy and LlamaCloud 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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Set Up the Pipefy and LlamaCloud 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 Pipefy, LlamaCloud, 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 β€œRun once” and triggering an event to check if the Pipefy and LlamaCloud integration works as expected. Depending on your setup, data should flow between Pipefy and LlamaCloud (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Pipefy and LlamaCloud

Pipefy + LlamaCloud + Slack: When a new card is created in Pipefy, LlamaCloud analyzes the card's description using its extraction capabilities. If the analysis identifies the card as urgent, a summary is posted to a dedicated Slack channel.

Pipefy + LlamaCloud + Google Sheets: When a card is updated in Pipefy, LlamaCloud extracts relevant data from the card, such as customer information and issue details. This extracted data is then automatically added as a new row in a Google Sheets summary report for the Pipefy team.

Pipefy and LlamaCloud integration alternatives

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 β€” without step limits or vendor lock-in.

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.

Pipefy + LlamaCloud integration

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FAQ Pipefy and LlamaCloud

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

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

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

Can I automatically analyze Pipefy data with LlamaCloud AI?

Yes, you can! Latenode enables AI-powered workflows to analyze Pipefy data using LlamaCloud, automatically extracting insights and streamlining your decision-making processes.

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

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

  • Automatically summarize Pipefy card data using LlamaCloud's AI models.
  • Enrich Pipefy records with data obtained from LlamaCloud's knowledge base.
  • Trigger LlamaCloud analyses whenever a new card is created in Pipefy.
  • Use LlamaCloud to classify and route Pipefy cards based on content.
  • Create reports in Latenode combining Pipefy data with LlamaCloud insights.

How secure is the Pipefy integration on Latenode?

Latenode uses secure authentication protocols to protect your Pipefy data during integration. Data transmission is encrypted, safeguarding your information.

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

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

  • Complex data transformations may require JavaScript coding.
  • LlamaCloud API usage is subject to its own rate limits.
  • Large datasets might impact workflow execution speed.

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