Turn Maia into an intelligent, in-product trainer for Matillion with this context file. Designed for platform enablement teams, educators, and solution architects, it transforms traditional documentation into interactive, role-aware tutorials that adapt to each user’s query, role, and current project.
Whether a user needs help building a job, configuring components, or solving errors, Maia delivers step-by-step guidance, personalized learning paths, and real-world examples—instantly and in context.
What’s inside the context file?
This example file equips Maia to act like a smart assistant teacher by including:
Real-world job examples and component walkthroughs for common data tasks.
A dynamic Q&A system that adapts responses based on user role and data context.
Personalized learning path configurations with modules tied to actual Matillion components and datasets.
Agentic tools for:
- Explaining how components work in specific business scenarios.
- Generating cost-effective job design patterns.
- Answering “how do I…” questions with real Matillion examples.
- Guiding users through troubleshooting using your organization’s past job logs
Integration support for:
- Webhooks that update learning content based on user actions.
- APIs that query Matillion for current job patterns and performance.
- Shared storage access for analyzing usage trends and performance metrics.
You can tailor the file with your own training modules, terminology, and example jobs. Save it to your .matillion/maia/rules/ directory and Maia will begin responding with intelligent educational guidance.
Who is this for?
This context file is ideal for:
- Platform onboarding leads building in-product training.
- Data team educators and architects supporting new hires or power users.
- Matillion workspace admins who want to reduce documentation requests.
- Anyone training cross-functional teams on Matillion pipelines
Key benefits
- Deliver self-service training within the Matillion UI.
- Reduce ramp-up time for new users.
- Provide rich, role-specific learning content instantly.
- Improve data pipeline quality by teaching best practices early.
- Enable personalized, context-aware responses without needing static playbooks
How to use
- Download the sample file below.
- Replace placeholder logic, metadata, and KPIs with your own retail standards.
- Save it to your project’s
.matillion/maia/rules/directory. - Maia will automatically apply these configurations during pipeline generation or prompt responses.
🔗 Learn how to use context files in Maia
📥 Download
Download the sample context file
Use this template to build smart, scalable analytics workflows tailored to retail teams working in Matillion.
Target agentic AI enhancement for platform tutorial / teacher
Generate context-aware Matillion job examples or component usage suggestions based on a user’s query about a specific data integration task
e.g., “Show me a job that loads Salesforce data and filters out duplicates.”Provide interactive, step-by-step guidance for configuring Matillion components for common business data scenarios
e.g., setting up an S3 Load component or chaining transformation jobs for cost calculations.Automate the creation of personalized learning paths for Matillion users based on their role and data needs
e.g., a guided onboarding track for data analysts using API Query and Calculator components.Answer complex “how-to” questions about Matillion’s features by referencing internal best practices and past successful jobs
e.g., “How should I configure retries for a failing SQL component using best practices?”