Nile Database is an integration platform designed for efficient interaction with PostgreSQL databases, particularly for multi-tenant applications. By incorporating Relevance AI, you can elevate your database operations with advanced AI capabilities that streamline user management and data queries.
Nile Database provides a robust platform for managing PostgreSQL databases in multi-tenant applications. With Relevance AI, you can leverage intelligent AI Agents to automate complex queries and user interactions, driving efficiency and scalability.
Tenant-Aware Intelligence
The agent automatically understands and respects tenant boundaries while processing data and executing tasks.
Secure Data Orchestration
Leverages built-in row-level security to ensure data operations maintain perfect tenant isolation across all interactions.
Automated Scaling Prowess
Seamlessly handles growing data volumes and concurrent requests without manual intervention or performance degradation.
Relevance AI seamlessly integrates with Nile Database to enhance your data workflows and user management processes.
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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Nile Database integration platform utilizes secure OAuth authentication, ensuring that only authorized applications can access your PostgreSQL databases. This integration allows you to perform various database operations (like creating users, executing queries) seamlessly through a REST API interface, making it ideal for scalable SaaS applications.
With built-in user management capabilities and native PostgreSQL compatibility, the integration simplifies multi-tenant database management while ensuring secure API-based operations. The platform also handles API operations in the background, so you don’t have to worry about errors, formatting, or limits.
Additionally, the integration supports prepared statements for queries and implements connection pooling to enhance performance, while built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.
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.
