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Google Gemini AI
Gemini Enterprise Agent Platform

Connect Google Gemini AI and Google Vertex AI (Gemini) integrations

Explore ready-made Google Gemini AI and Gemini Enterprise Agent Platform templates and start automating in minutes.

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Create a custom workflow

Harness the power of intelligent automation by connecting Google Gemini AI as a trigger with Google Vertex AI (Gemini) as an action through Make. Watch as AI-detected events automatically activate sophisticated AI models and data processing tasks, creating workflows that respond dynamically to real-time conditions without manual intervention.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Google Gemini AI
Trigger: Watch events
Gemini Enterprise Agent Platform
Action: Select an action
1. Select a trigger

  • Triggers when a long running task has finished.

2. Select an action

  • Analyzes images and/or videos from the input parameters based on instructions specified in the prompt.

  • Creates a chat prompt to a Gemini model based on the input parameters.

  • Generates an answer to a question about an image you provide using a Gemini model.

  • Creates high quality images using Gemini image generation models with text prompts to guide the generation.

  • Generates a caption from an image you provide using a Gemini model.

  • Generates up to 4 videos from a text prompt or image using Google Veo. Supports up to 1080p resolution and 4-8 second clips.

  • Performs an arbitrary authorized API call.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Integrate Google Vertex AI (Gemini) as a trigger and Google Gemini AI as an action through Make's automation platform. When Google Vertex AI (Gemini) triggers your workflow by detecting specific events or conditions, it automatically initiates Google Gemini AI to execute actions such as processing data, generating insights, or running AI models. This trigger-action integration allows you to create automated workflows where Google Vertex AI (Gemini) monitors for designated triggers, and upon activation, Google Gemini AI performs the corresponding actions without manual intervention. By connecting Google Vertex AI (Gemini) as a trigger with Google Gemini AI as an action, you can orchestrate intelligent automated processes that respond dynamically to AI-detected events and execute complex AI-driven tasks.

Analyze Image/Video (Gemini) (Legacy)
Analyzes images and/or videos from the input parameters based on instructions specified in the prompt.
Action
Create a Chat Prompt (Gemini)
Creates a chat prompt to a Gemini model based on the input parameters.
Action
Create a file search store
Creates a new file search store.
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
Generate a video
Generates a video using the general purpose Gemini model family.
Action
Generate a video (Veo) (deprecated)
Generates a video using the Veo models.
Action
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How to set up Google Gemini AI and Gemini Enterprise Agent Platform in 5 easy steps

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Step 1

Set up your Google Cloud project

Log into Google Cloud Platform and create a new project by clicking 'Create or select a project' and then 'New project'. Give it a clear name and make sure it's selected in the top menu dropdown so you're working in the correct workspace.

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Step 2

Get your API credentials

For Google Gemini AI, visit Google AI Studio, click 'Get API key', then 'Create API key', select your project, and copy the key to save it. For Google Vertex AI, go to 'APIs & Services' in Google Cloud, search for 'Vertex AI Gemini API' in the Library, and click 'Enable' to activate it.

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Step 3

Complete billing setup if required

If you see a 'Billing required' message when enabling services, click 'Enable Billing' and follow the prompts. This step ensures your Google Cloud project has the necessary permissions to access AI services that Make will connect to.

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Step 4

Add your AI module in Make

Log into Make and add either the Google Gemini AI or Google Vertex AI module to your automation scenario. Click 'Create a connection' to start the process of linking Make with your chosen Google AI service.

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Step 5

Connect and authenticate your app

Give your connection a descriptive name to help you identify it later. For Google Gemini AI, paste your API key into the designated field. For Google Vertex AI, click 'Sign in with Google' and authenticate. Finally, click 'Save' to complete the connection.

Enterprise AI power: Google Gemini AI + Vertex AI integration benefits

Connect Google Gemini AI with Google Vertex AI to create powerful automated workflows that optimize model deployment, improve performance monitoring, and reduce costs while scaling your AI operations.

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Accelerate model deployment pipeline

Automatically deploy and manage Gemini models from development to production by connecting Google Gemini AI's generation capabilities with Vertex AI's enterprise-grade deployment infrastructure.

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Better model performance monitoring

Stream Gemini AI outputs directly into Vertex AI for comprehensive tracking, evaluation, and fine-tuning based on real-world performance metrics.

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Automate training data enrichment

Use Google Gemini AI to generate, augment, or label training data that automatically feeds into Vertex AI's model training workflows for continuous improvement.

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Multi-modal AI workflow automation

Orchestrate complex AI pipelines that use Gemini's text generation alongside Vertex AI's multi-modal capabilities for images, speech, and code in a single automated workflow.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Google Gemini AI in Make provides direct access to Gemini's conversational AI capabilities for tasks like text generation, translation, and content creation - perfect for straightforward AI interactions. Google Vertex AI (Gemini) offers enterprise-grade features including model customization, fine-tuning, multi-modal processing (text, code, images, speech), and deployment options for production applications. Use Google Gemini AI for quick AI-powered automations and content workflows, or choose Vertex AI when you need advanced customization, multi-modal capabilities, or enterprise-level ML operations. Make allows you to integrate both, so you can start with Gemini AI and scale to Vertex AI as your needs grow.

Absolutely! Make's visual automation builder lets you combine both Google Gemini AI and Vertex AI (Gemini) in the same workflow, allowing you to use the strengths of each platform. For example, you could use Google Gemini AI for initial content generation or customer interactions, then pass complex tasks requiring custom models, image analysis, or code generation to Vertex AI. This hybrid approach gives you flexibility to optimize costs and performance - using the simpler Gemini AI for routine tasks while reserving Vertex AI's advanced capabilities for specialized operations. With Make's drag-and-drop interface, connecting these Google AI services with your other business applications requires no coding.

Make simplifies the integration process significantly, even for users without technical backgrounds. For Google Gemini AI, you simply connect your Google account, select pre-built modules for tasks like 'Generate Text' or 'Create Chat Completion,' and configure your prompts. Vertex AI setup is similarly straightforward - Make provides ready-made modules for model predictions, text generation, and multi-modal operations. You don't need to understand APIs, write code, or manage authentication complexities. Make's visual interface guides you through each step, and you can test your workflows in real-time. Plus, Make offers templates and documentation specifically for Google AI integrations, so you can start automating AI-powered processes within minutes rather than days of development work.

Integrating Google's AI platforms through Make opens powerful automation possibilities across your business. You can build intelligent content pipelines that generate marketing copy with Gemini AI, analyze customer sentiment from multiple channels, and route insights to your CRM. For customer support, automatically classify incoming tickets using Vertex AI's custom models, generate response drafts with Gemini, and update your helpdesk system - all without human intervention. E-commerce businesses can automate product description generation, image analysis for quality control, and personalized recommendation engines. Development teams can set up code review automation, documentation generation, and bug report analysis. Make connects these AI capabilities with 1,500+ apps including Slack, Google Sheets, Salesforce, and Shopify, enabling you to embed AI intelligence throughout your existing tech stack and eliminate repetitive manual work.