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Enrich LlamaCloud insights with comprehensive data. Latenode’s visual editor makes it simple to link data points and AI actions, while JavaScript support enables custom data refinement for more accurate AI analysis and reporting.
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LlamaCloud
Data Enrichment
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Create a New Scenario to Connect LlamaCloud and Data Enrichment
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 Data Enrichment will be your first step. To do this, click "Choose an app," find LlamaCloud or Data Enrichment, 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.
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.
Add the Data Enrichment Node
Next, click the plus (+) icon on the LlamaCloud node, select Data Enrichment from the list of available apps, and choose the action you need from the list of nodes within Data Enrichment.
LlamaCloud
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Data Enrichment
Authenticate Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment through Latenode.
Configure the LlamaCloud and Data Enrichment 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 LlamaCloud and Data Enrichment 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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Data Enrichment
Trigger on Webhook
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LlamaCloud
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring LlamaCloud, Data Enrichment, 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 Data Enrichment integration works as expected. Depending on your setup, data should flow between LlamaCloud and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
LlamaCloud + Data Enrichment + Airtable: When a document is parsed by LlamaCloud, the extracted data is enriched using Data Enrichment, and the enriched data is then stored as a new record in Airtable.
Google Sheets + LlamaCloud + Data Enrichment: When a new row is added to a Google Sheet, the data from that row is extracted by LlamaCloud, then enriched using Data Enrichment.
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.
Related categories
About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
Similar apps
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How can I connect my LlamaCloud account to Data Enrichment using Latenode?
To connect your LlamaCloud account to Data Enrichment on Latenode, follow these steps:
Can I enrich LlamaCloud data with external sources automatically?
Yes, you can! Latenode allows automated enrichment via Data Enrichment. Effortlessly update LlamaCloud data, enhancing insights with a seamless no-code workflow, without manual imports or exports.
What types of tasks can I perform by integrating LlamaCloud with Data Enrichment?
Integrating LlamaCloud with Data Enrichment allows you to perform various tasks, including:
How does Latenode handle LlamaCloud data security and privacy?
Latenode employs robust encryption and secure data handling practices, ensuring your LlamaCloud data remains private and protected throughout every workflow execution.
Are there any limitations to the LlamaCloud and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: