Building the Most Advanced Data Agent
Table of Contents
At TextQL, we've developed Ana, the most advanced data agent in the industry. This post explores how we built it and the technical challenges we overcame.
The Challenge
Enterprise data is complex. Companies have hundreds of thousands of tables spread across multiple databases, warehouses, and systems. Traditional approaches to data analysis can't handle this scale.
Our Solution
We built Ana with three core principles in mind:
- Scalability - Handle hundreds of tables in a single query
- Intelligence - Understand complex data relationships
- Security - Enterprise-grade security at every level
Technical Architecture
Ana is built on our Dakota Architecture, which enables:
- State machine for runtime tool access
- Context management across queries
- Secure sandbox execution
- Real-time processing
Results
Ana can now join 250+ tables in a single query, far exceeding any other solution in the market. This enables insights that were previously impossible to discover.
What's Next
We're continuing to push the boundaries of what's possible with enterprise data analysis. Stay tuned for more updates on Ana's capabilities.