Connect Google Vertex AI (Gemini) and Google Gemini AI integrations
Connect Google Vertex AI (Gemini) and Google Gemini AI through Make to trigger sophisticated AI actions like content generation and natural language processing automatically, without writing a single line of code. Transform your workflows as Google Vertex AI (Gemini) detects events and instantly activates Google Gemini AI's powerful generative capabilities, creating data-driven business processes that work for you.
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Build your Google Vertex AI (Gemini) and Google Gemini AI integrations.
Connect Google Gemini AI as a trigger and Google Vertex AI (Gemini) as an action through Make's integration platform to create automated AI workflows. When Google Gemini AI detects specific events or conditions, it triggers automated processes that execute actions in Google Vertex AI (Gemini), such as generating content, processing natural language requests, or producing conversational responses. This trigger-action integration enables you to automatically use Google Vertex AI (Gemini)'s generative capabilities whenever Google Gemini AI identifies predetermined signals, creating AI-powered automation that transforms data flows and business processes without requiring code.
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.
Creates a new file search store.
Deletes a file from a selected files search store.
Deletes a file search store.
Extracts structured data from text or files.
Generates a video from a text prompt.
Generates a response for the provided input.
Generates a video.
Popular Google Vertex AI (Gemini) and Google Gemini AI workflows.
Looking to get more out of Google Vertex AI (Gemini) and Google Gemini AI? With Make you can visually integrate Google Vertex AI (Gemini) and Google Gemini AI into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
How to setup Google Vertex AI (Gemini) and Google Gemini AI in 5 easy steps
Set up a Google Cloud project
Start by logging into Google Cloud Platform with your Google account. Create a new project by giving it a name and clicking 'Create'. This project serves as the foundation for connecting your apps with Make.
Enable the necessary API
Navigate to 'APIs & Services' and then 'Library' in Google Cloud. Search for 'Vertex AI Gemini API' and click the 'Enable' button to activate it for your project.
Get your API credentials
Depending on which app you're connecting, you'll need to obtain your credentials. For Gemini AI, go to Google AI Studio, click 'Get API key', then 'Create API key', and copy the generated key.
Add a module in Make
Log in to Make and open or create a scenario. Add either a Google Gemini AI or Google Vertex AI module to your workflow, then click 'Create a connection' when the option appears.
Complete the connection
Enter your API key in the designated field or sign in with Google when prompted. Give your connection a recognizable name and click 'Save' to finalize the setup.
Integrate Google Vertex AI and Google Gemini AI for advanced AI automation
Combine Google Vertex AI and Google Gemini AI to create powerful automated workflows that optimize costs, improve response quality, and ensure reliable AI operations across your organization.
Automatically route requests between Vertex AI's enterprise-grade infrastructure and Gemini AI's conversational capabilities to optimize performance and cost for different use cases.
Combine Vertex AI's custom fine-tuned models with Gemini's general-purpose language understanding to create more accurate and context-aware automated responses.
Automatically switch between Google Vertex AI and Gemini AI services to ensure uninterrupted AI-powered workflows even when one service experiences issues.
Orchestrate complex workflows that use Vertex AI's image and speech processing alongside Gemini's text generation to create comprehensive AI solutions.
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