How to connect Google Vertex AI and Discourse
Create a New Scenario to Connect Google Vertex AI and Discourse
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 Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Discourse will be your first step. To do this, click "Choose an app," find Google Vertex AI or Discourse, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Discourse Node
Next, click the plus (+) icon on the Google Vertex AI node, select Discourse from the list of available apps, and choose the action you need from the list of nodes within Discourse.

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Authenticate Discourse
Now, click the Discourse node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Discourse settings. Authentication allows you to use Discourse through Latenode.
Configure the Google Vertex AI and Discourse 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 Google Vertex AI and Discourse 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, Discourse, 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 Google Vertex AI and Discourse integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Discourse (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Discourse
Discourse + Google Vertex AI + Slack: When a new topic is created in Discourse, its content is summarized using Google Vertex AI. The summary is then posted to a dedicated Slack channel.
Discourse + Google Vertex AI + Google Sheets: When a new topic is created in Discourse, its content is analyzed for sentiment using Google Vertex AI. The sentiment analysis results are then logged in a Google Sheet.
Google Vertex AI and Discourse integration alternatives
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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About Discourse
Integrate Discourse with Latenode to automate community management. Trigger actions based on new topics or replies. Automatically analyze sentiment, flag urgent issues, and update your CRM. Build custom moderation flows with Latenode's no-code tools, AI nodes, and flexible JavaScript functions, scaling support without manual effort.
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See how Latenode works
FAQ Google Vertex AI and Discourse
How can I connect my Google Vertex AI account to Discourse using Latenode?
To connect your Google Vertex AI account to Discourse on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Discourse accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Discourse threads with Google Vertex AI?
Yes, you can! Use Latenode to trigger Google Vertex AI when new Discourse threads appear, generating summaries for quick overviews and improved community engagement.
What types of tasks can I perform by integrating Google Vertex AI with Discourse?
Integrating Google Vertex AI with Discourse allows you to perform various tasks, including:
- Analyze Discourse posts to detect sentiment and flag negative content.
- Generate suggested replies for Discourse discussions using AI models.
- Automatically categorize Discourse threads based on content analysis.
- Translate Discourse posts into multiple languages using AI translation.
- Create personalized summaries of user activity for community moderators.
How does Latenode improve Google Vertex AI integration?
Latenode provides a visual interface, no-code blocks, and flexible JavaScript steps for custom logic, enabling seamless integration scaling.
Are there any limitations to the Google Vertex AI and Discourse integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the Google Vertex AI and Discourse APIs may apply.
- Complex prompt engineering might require advanced AI knowledge.
- Large volumes of data can impact workflow execution time.