Neon is a serverless PostgreSQL database platform that allows for efficient management and deployment of databases. With Relevance AI, you can leverage AI Agents to automate workflows and gain deeper insights from your data.
Neon provides a serverless PostgreSQL experience that simplifies database management. Relevance AI enhances this by enabling intelligent AI Agents to automate and optimize your database operations.
Intelligent Database Orchestration
The agent autonomously handles scaling, optimization, and resource allocation across multiple database instances
Predictive Performance Optimization
Leverages historical data patterns to anticipate and prevent performance bottlenecks before they occur
Proactive Cost Optimization
Continuously monitors and adjusts resource allocation to maximize performance while minimizing operational costs
Relevance AI integrates seamlessly with Neon, allowing you to manage your PostgreSQL databases within your automated 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 Neon account
- A Relevance AI account with access to your projects and datasets
- Authorization credentials (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
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 Neon + Relevance AI integration without writing code:
- Start with a clear project structure: Use descriptive project and branch names to maintain organization.
- Utilize automated workflows: Leverage Relevance AI's capabilities to automate database provisioning and management tasks.
- Verify API credentials: Ensure your Neon API key and OAuth account ID are correctly configured before making requests.
- Test API calls in a development environment: Validate your API requests with test data to prevent issues in production.
- Monitor resource usage: Keep an eye on your database and branch limits to avoid unexpected service interruptions.
