Gemini is an advanced AI-driven platform that streamlines data analysis and enhances decision-making processes for businesses.
Create intelligent AI agents that leverage Gemini's sophisticated analytics capabilities to automate complex workflows and deliver personalized experiences.
Gemini excels at transforming complex data into actionable insights. Relevance AI enhances this by enabling AI agents that can automatically analyze, interpret, and act on these insights at scale.
Insightful Decision Orchestration
Agents can leverage real-time data insights to guide strategic decisions.
Dynamic Workflow Automation
Agents can automate complex processes, enhancing operational efficiency.
Enhanced Customer Engagement
Agents can provide personalized experiences based on real-time customer data.
Relevance AI gives you access to Gemini's powerful data analytics and machine learning capabilities within your AI agent workflows.
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 Gemini account
- A Relevance AI account with access to your project settings
- Authorization (connect securely via OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication through the Gemini Public API, enabling authorized access to market data and trading capabilities. Relevance AI manages API requests and responses seamlessly, handling authentication headers and endpoint formatting automatically.
Built-in request validation and response parsing ensure reliable data exchange, with support for common HTTP methods and customizable request parameters.
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.
Best Practices for Non-Technical Users
To get the most out of the Gemini + Relevance AI integration without writing code:
- Configure API permissions: Set appropriate read/write access levels in your Gemini account settings.
- Use proper endpoints: Select the correct API paths for public vs private endpoints in your workflows.
- Handle authentication: Ensure OAuth credentials are properly configured and maintained.
- Monitor rate limits: Stay within Gemini's API request limits to prevent service interruptions.
- Validate responses: Check status codes and response formats before processing data further.
