Skip to main content

Make Waves ’26 Step into AI’s glass box. Prague, 19–20 Oct.

Register now (opens in a new tab)
Perplexity AI
Gemini Enterprise Agent Platform

Connect Perplexity AI and Google Vertex AI (Gemini) integrations

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

Get started free

Create a custom workflow

Connect Perplexity AI and Google Vertex AI (Gemini) through Make to automate intelligent workflows that transform search results into advanced machine learning insights. Eliminate manual data transfers and harness the power of combining natural language processing with predictive analytics, creating smarter, faster AI-driven automation that works while you focus on what matters most.

Triggers and actions

Connect Google Vertex AI (Gemini) as a trigger and Perplexity AI as an action through Make's integration platform to build automated workflows. When Google Vertex AI (Gemini) generates search results or completes a query, it triggers an automated action in Perplexity AI to process and analyze that data using its machine learning capabilities. This integration allows you to automatically feed search results from Google Vertex AI (Gemini) into Perplexity AI for advanced analysis, creating intelligent workflows that combine natural language processing with predictive modeling without manual data transfers between these AI tools.

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 completion
Creates a chat completions with the chosen model.
Action
Create a Chat Prompt (Gemini)
Creates a chat prompt to a Gemini model based on the input parameters.
Action
Create an agent response
Generate a response for the provided input with optional web search and reasoning.
Action
Generate an Answer for an Image
Generates an answer to a question about an image you provide using a Gemini model.
Action
Generate an Image
Creates high quality images using Gemini image generation models with text prompts to guide the generation.
Action
Generate an Image Caption
Generates a caption from an image you provide using a Gemini model.
Action
Generate contextualized embeddings (advanced)
Generate contextualized embeddings for document chunks. Chunks from the same document share context awareness, improving retrieval quality for document-based applications.
Action
Generate embeddings
Generate vector representations (embeddings) for the text you provide.
Action
Load more

How to set up Perplexity AI and Gemini Enterprise Agent Platform in 5 easy steps

Date

·

Duration

Step 1

Set up your Google Cloud project

Log into Google Cloud Platform and create a new project by giving it a name and location. Once created, make sure your project is selected from the dropdown menu at the top so you're working in the right space. Next, go to the APIs & Services Library and search for 'Vertex AI Gemini API'. Click on it and enable this API for your project, which allows Make to communicate with Google's AI services.

Date

·

Duration

Step 2

Configure your OAuth consent screen

In Google Auth Platform, set up your consent screen by clicking 'Get Started' and entering 'Make' as your app name along with your email address. Choose 'External' as your audience type so anyone can authorize the connection. In the Branding section, add 'make.com' and 'integromat.com' to your authorized domains list. This tells Google which websites can safely use your credentials to connect Make with Google services.

Date

·

Duration

Step 3

Create your OAuth credentials

Go to the Clients section in Google Auth Platform and create a new web application client. Give it a recognizable name and add the redirect URI: 'https://www.make.com/oauth/cb/google-vertex-ai'. After creating the client, you'll see a Client ID and Client Secret. Copy both of these and keep them somewhere safe, as you'll need them to complete the connection in Make.

Date

·

Duration

Step 4

Connect Google Vertex AI in Make

Log into Make and add a Google Vertex AI module to your automation. Click 'Create a connection' and optionally give it a custom name for identification. Click 'Sign in with Google' and follow the prompts to authenticate and grant permissions. Once completed, Make will be authorized to use Google Vertex AI through your project.

Date

·

Duration

Step 5

Connect Perplexity AI in Make

Log into Perplexity AI, click the Settings icon, and navigate to the API section. Create a new API group and enter your payment details for usage billing. In the API Keys tab, create a new key and copy it. Back in Make, add a Perplexity AI module, click 'Create a connection', paste your API key, and save to complete the setup.

Discover AI-powered research and automation benefits

Integrate Perplexity AI and Google Vertex AI (Gemini) to automate research workflows, improve content generation, and continuously develop your AI models with real-time knowledge discovery and deployment.

Date

·

Duration

Better knowledge discovery with multi-modal AI

Combine Perplexity's information discovery capabilities with Vertex AI's multi-modal processing to automatically enrich search results with generated images, code, and speech outputs.

Date

·

Duration

Automated research-to-deployment pipeline

Automatically feed Perplexity's research findings into Vertex AI for custom LLM training, enabling your AI models to stay updated with the latest discovered knowledge.

Date

·

Duration

Intelligent content generation workflows

Use Perplexity to discover trending topics and relevant information, then automatically trigger Vertex AI's generative models to create customized content across multiple formats.

Date

·

Duration

Real-time knowledge updates for AI applications

Continuously update your Vertex AI-powered applications with fresh insights from Perplexity, ensuring your AI solutions provide the most current and accurate information.

Support

FAQs

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

By integrating Perplexity AI with Google Vertex AI (Gemini) on Make, you can create a powerful automated workflow that combines Perplexity's information discovery capabilities with Gemini's advanced language processing and multimodal AI. For example, you can automatically query Perplexity for the latest research on a topic, then feed those insights into Vertex AI's Gemini models to generate comprehensive reports, create visual content, or develop custom AI responses tailored to your specific needs. This integration eliminates manual data transfer and enables you to leverage both platforms' strengths in a single automated process.

There are numerous practical applications for this integration: (1) Automated market research where Perplexity discovers current trends and Vertex AI analyzes and summarizes findings with custom LLMs, (2) Content creation pipelines that use Perplexity to gather information and Gemini to generate articles, images, or code based on that data, (3) Customer support improvement where Perplexity retrieves relevant knowledge and Vertex AI crafts personalized responses, and (4) Competitive intelligence workflows that continuously monitor information through Perplexity and process it through your fine-tuned Gemini models for strategic insights. Make's visual automation builder lets you set up these workflows without coding expertise.

No extensive technical expertise is required. Make provides a user-friendly, no-code platform with drag-and-drop functionality that makes it straightforward to connect Perplexity AI and Google Vertex AI (Gemini). The platform offers pre-built modules for both applications, visual workflow designers, and templates to help you get started quickly. While having API keys for both services is necessary, Make handles the complex authentication and data formatting automatically. You can create sophisticated AI-powered automations through an intuitive interface, and Make's extensive documentation and community support help you troubleshoot any issues along the way.

Using Make to integrate Perplexity AI and Google Vertex AI offers significant advantages over custom development: (1) Time savings—what might take weeks of coding can be set up in hours or even minutes, (2) Cost efficiency—no need to hire developers or maintain custom code, (3) Reliability—Make handles API updates, error handling, and connection maintenance automatically, (4) Flexibility—modify workflows through visual editing without rewriting code, and (5) Scalability—Make's infrastructure handles processing and scaling without additional infrastructure costs. Additionally, you gain access to thousands of other app integrations, allowing you to expand your automation ecosystem as your needs grow, all from a single platform.