Training the AI
Teela's accuracy depends directly on how well it understands your data. Training is the process of teaching Teela about your database structure, business rules, and terminology. Better training means better answers for your team.
Monitoring and Improving
Once you've set up your initial training data, Teela gets smarter over time through user interactions and feedback. This page covers the tools for monitoring how Teela is performing and making targeted improvements.
Aliases
Aliases are the bridge between how your team talks about data and how your database actually stores it. Think of it as how Teela learns and understands your business's vocabulary. When a user asks about "revenue," Teela needs to know that means the totalsalesamount column. That's what aliases do.
Data Dictionary
The Data Dictionary is your reference for everything Teela knows about your database structure. It shows every table, column, data type, relationship, and description across your connected data sources: and it's also where you can enhance that information to help Teela answer questions more accurately.
Training Best Practices
This is a playbook for getting the most out of Teela's training system. Whether you're setting up a new connection or fine-tuning an existing one, these practices will help you build training data that makes Teela accurate and reliable.
Personal Definitions
If you have personal connections, you can add definitions to help Teela understand your data better. Definitions are plain-English notes that describe what your columns mean, what abbreviations stand for, how your data is structured, and any business rules Teela should know about.