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Combine Enrich Layer with LlamaCloud to automatically augment contact data with AI insights. Build custom logic with JavaScript, then scale your enriched data workflows affordably on Latenode's execution-based pricing.
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Create a New Scenario to Connect Enrich Layer and LlamaCloud
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Enrich Layer, triggered by another scenario, or executed manually (for testing purposes). In most cases, Enrich Layer or LlamaCloud will be your first step. To do this, click "Choose an app," find Enrich Layer or LlamaCloud, and select the appropriate trigger to start the scenario.
Add the Enrich Layer Node
Select the Enrich Layer node from the app selection panel on the right.
Enrich Layer
Configure the Enrich Layer
Click on the Enrich Layer node to configure it. You can modify the Enrich Layer URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the LlamaCloud Node
Next, click the plus (+) icon on the Enrich Layer node, select LlamaCloud from the list of available apps, and choose the action you need from the list of nodes within LlamaCloud.
Enrich Layer
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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.
Configure the Enrich Layer 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.
Set Up the Enrich Layer and LlamaCloud Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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LlamaCloud
Trigger on Webhook
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Enrich Layer
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Enrich Layer, LlamaCloud, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Enrich Layer and LlamaCloud integration works as expected. Depending on your setup, data should flow between Enrich Layer and LlamaCloud (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Enrich Layer + LlamaCloud + Airtable: When a new record is created in Airtable, the contact information is enriched using Enrich Layer. The enriched data is then analyzed by LlamaCloud to extract sentiments and other relevant information, and the results are logged back into Airtable for review.
LlamaCloud + Enrich Layer + HubSpot: When a contact is created or updated in HubSpot, LlamaCloud parses document, enrich contact details using Enrich Layer and update the HubSpot contact with the enriched data.
About Enrich Layer
Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.
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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.
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How can I connect my Enrich Layer account to LlamaCloud using Latenode?
To connect your Enrich Layer account to LlamaCloud on Latenode, follow these steps:
Can I enrich data before loading it into LlamaCloud?
Yes, you can easily enrich data from Enrich Layer before loading it into LlamaCloud using Latenode. Latenode's visual editor simplifies data transformation and mapping for efficient workflows.
What types of tasks can I perform by integrating Enrich Layer with LlamaCloud?
Integrating Enrich Layer with LlamaCloud allows you to perform various tasks, including:
What Enrich Layer data can I access directly within Latenode?
You can access company details, employee information, industry data, and location insights directly from Enrich Layer within your Latenode workflows.
Are there any limitations to the Enrich Layer and LlamaCloud integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: