How to connect Google Vertex AI and OpenAI ChatGPT
Create a New Scenario to Connect Google Vertex AI and OpenAI ChatGPT
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 OpenAI ChatGPT will be your first step. To do this, click "Choose an app," find Google Vertex AI or OpenAI ChatGPT, 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 OpenAI ChatGPT Node
Next, click the plus (+) icon on the Google Vertex AI node, select OpenAI ChatGPT from the list of available apps, and choose the action you need from the list of nodes within OpenAI ChatGPT.

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Authenticate OpenAI ChatGPT
Now, click the OpenAI ChatGPT node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI ChatGPT settings. Authentication allows you to use OpenAI ChatGPT through Latenode.
Configure the Google Vertex AI and OpenAI ChatGPT 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 OpenAI ChatGPT 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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OpenAI ChatGPT
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, OpenAI ChatGPT, 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 OpenAI ChatGPT integration works as expected. Depending on your setup, data should flow between Google Vertex AI and OpenAI ChatGPT (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 OpenAI ChatGPT
Google Vertex AI + OpenAI ChatGPT + Google Docs: Summarize customer feedback from a Google Vertex AI analysis, generate personalized responses using ChatGPT, and save these responses in a new Google Docs document.
OpenAI ChatGPT + Google Vertex AI + Salesforce: Use ChatGPT to create initial sales scripts. Then, improve the script's effectiveness using Google Vertex AI to analyze and refine the language. Finally, store the improved sales script as an attachment in Salesforce.
Google Vertex AI and OpenAI ChatGPT 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 OpenAI ChatGPT
Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.
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FAQ Google Vertex AI and OpenAI ChatGPT
How can I connect my Google Vertex AI account to OpenAI ChatGPT using Latenode?
To connect your Google Vertex AI account to OpenAI ChatGPT 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 OpenAI ChatGPT accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze customer sentiment using both platforms?
Yes, you can! Latenode streamlines data flow, letting you use Google Vertex AI for initial processing and OpenAI ChatGPT for nuanced sentiment analysis. Benefit from enhanced accuracy and actionable insights.
What types of tasks can I perform by integrating Google Vertex AI with OpenAI ChatGPT?
Integrating Google Vertex AI with OpenAI ChatGPT allows you to perform various tasks, including:
- Generate personalized marketing copy based on user data insights.
- Automate customer support responses with AI-powered understanding.
- Summarize long documents using the combined strengths of both AI models.
- Create training datasets for AI models using curated content.
- Enhance content moderation processes with advanced AI detection.
Can I fine-tune Google Vertex AI models using OpenAI ChatGPT?
Yes! Latenode makes it simple to pass data between services, helping you fine-tune Vertex AI using insights from OpenAI ChatGPT for optimized AI performance.
Are there any limitations to the Google Vertex AI and OpenAI ChatGPT integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the individual services still apply.
- Complex workflows may require advanced understanding of both platforms.
- Large data transfers can incur additional costs from each service.