Google Vertex AI is a powerful platform that simplifies the use of AI and machine learning through a user-friendly API. With Relevance AI, you can leverage these capabilities to create dynamic workflows that harness the full potential of AI-driven insights.
Google Vertex AI provides robust machine learning tools for tasks like sentiment analysis and media processing. Relevance AI amplifies these capabilities by enabling intelligent AI Agents that can automate and optimize your data-driven processes.
Cognitive Mastery
Empowers the agent with Google's advanced ML models for superior understanding and decision-making capabilities.
Adaptive Intelligence
Leverages AutoML to continuously evolve and improve performance through automated learning and optimization.
Multi-Modal Proficiency
Processes and analyzes diverse data types including text, images, and video through unified API endpoints.
Relevance AI seamlessly integrates with Google Vertex AI to enhance your workflows with advanced AI capabilities.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Google Vertex AI account
- A Relevance AI account with access to the project and datasets you'd like to use
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages Google's secure OAuth 2.0 authentication flow, ensuring only authorized workflows can access Vertex AI capabilities. Google Vertex AI handles complex machine learning operations in the background—managing model serving, API quotas, and input validation automatically.
Built-in error handling and response formatting ensure your AI workflows run reliably, with automatic retries and data type conversion for supported model endpoints.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
