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Automate sentiment analysis from Lark messages using Google Vertex AI. Latenode’s visual editor makes it easier than ever to create custom workflows, and you only pay for execution time. Analyze feedback and flag urgent issues faster with AI.
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Create a New Scenario to Connect Lark and Google Vertex AI
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 Lark, triggered by another scenario, or executed manually (for testing purposes). In most cases, Lark or Google Vertex AI will be your first step. To do this, click "Choose an app," find Lark or Google Vertex AI, and select the appropriate trigger to start the scenario.
Add the Lark Node
Select the Lark node from the app selection panel on the right.
Lark
Add the Google Vertex AI Node
Next, click the plus (+) icon on the Lark node, select Google Vertex AI from the list of available apps, and choose the action you need from the list of nodes within Google Vertex AI.
Lark
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Google Vertex AI
Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Lark and Google Vertex AI 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 Lark and Google Vertex AI 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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Google Vertex AI
Trigger on Webhook
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Lark
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Lark, Google Vertex AI, 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 Lark and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Lark and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Lark + Google Vertex AI + Notion: When a new message is received in a Lark group chat, the message content is sent to Google Vertex AI to generate a summary. This summary is then used to create a new page in a Notion database.
Lark + Google Vertex AI + Google Sheets: When a new message is received in a Lark group chat, the message content is sent to Google Vertex AI to analyze sentiment. The message and its sentiment score are then logged as a new row in a Google Sheet.
About Lark
Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.
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About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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How can I connect my Lark account to Google Vertex AI using Latenode?
To connect your Lark account to Google Vertex AI on Latenode, follow these steps:
Can I analyze Lark messages with Vertex AI sentiment analysis?
Yes, you can! Latenode’s visual editor makes it easy to send Lark data to Google Vertex AI for analysis, and then act on the results, such as routing messages to specific support channels.
What types of tasks can I perform by integrating Lark with Google Vertex AI?
Integrating Lark with Google Vertex AI allows you to perform various tasks, including:
How do I handle errors when using the Lark integration on Latenode?
Latenode provides built-in error handling and logging, allowing you to monitor and troubleshoot your Lark workflows easily.
Are there any limitations to the Lark and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: