Seqera is a platform designed for creating, managing, and monitoring computational workflows in scientific data analysis. By integrating with Relevance AI, you can elevate your workflows with advanced automation and AI-driven insights.
Seqera provides a robust platform for managing computational workflows, while Relevance AI empowers these workflows with intelligent automation and AI Agents that can adapt and optimize processes dynamically.
Workflow Orchestration Mastery
AI agent gains advanced capabilities to design, optimize, and automate complex scientific workflows across multiple computing environments.
Cross-Cloud Resource Intelligence
Agent dynamically orchestrates workload distribution across various cloud providers, optimizing for cost, performance, and compliance requirements.
Predictive Resource Allocation
Leverages historical data to anticipate computing needs and proactively adjust resource allocation for optimal performance.
Relevance AI integrates seamlessly with Seqera to enhance your scientific data analysis 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 Seqera account
- A Relevance AI account with access to your project and datasets
- Authorization credentials (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The Seqera & Relevance AI integration streamlines scientific data analysis by automating workflow management and computational processes. This integration utilizes secure OAuth authentication, ensuring that only authorized workflows can access your Seqera resources. Relevance AI manages API operations (such as creating compute environments, pipelines, and actions) in the background, allowing you to focus on your data analysis without worrying about errors, formatting, or limits.
With built-in validation and type conversion, your workflows can run seamlessly, even when dealing with varying data formats. The integration provides a centralized platform for managing credentials and simplifies the setup of compute environments, making it easier to launch and monitor your scientific workflows.
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.
