Challenge
AbbVie required a scalable and reliable platform to evaluate and validate multiple GenAI agents such as Text2API, Text2Doc, and Text2SQL.
The key challenge was handling large Excel files containing 500–600 questions, running long-running AI evaluations (30–45 seconds per question), comparing source and target responses against ground-truth data, and generating accurate evaluation reports.
The system also needed to support team-based collaboration, high performance, and background processing without impacting user experience.
AbbVie required a scalable and reliable platform to evaluate and validate multiple GenAI agents such as Text2API, Text2Doc, and Text2SQL.
The key challenge was handling large Excel files containing 500–600 questions, running long-running AI evaluations (30–45 seconds per question), comparing source and target responses against ground-truth data, and generating accurate evaluation reports.
The system also needed to support team-based collaboration, high performance, and background processing without impacting user experience.
Solution
IT IDOL Technologies designed and developed a complete AI agent evaluation platform from the ground up. We built a scalable system architecture with Python-based backend APIs to orchestrate evaluations, manage environment configurations, and process large Excel uploads.
GenAI validators were integrated into backend workflows, and Celery-based background processing was used to manage long-running tasks efficiently. A React-based frontend enabled configuration, result previews, team collaboration, and report downloads.
IT IDOL Technologies designed and developed a complete AI agent evaluation platform from the ground up. We built a scalable system architecture with Python-based backend APIs to orchestrate evaluations, manage environment configurations, and process large Excel uploads.
GenAI validators were integrated into backend workflows, and Celery-based background processing was used to manage long-running tasks efficiently. A React-based frontend enabled configuration, result previews, team collaboration, and report downloads.
Results
- Scalable platform capable of processing large datasets efficiently
- Reliable evaluation of multiple GenAI agents using configurable pass/fail criteria
- Improved performance through background task execution and multithreading
- Enhanced team collaboration with group-based access and file sharing
- Automated, downloadable evaluation reports for faster decision-making
- Scalable platform capable of processing large datasets efficiently
- Reliable evaluation of multiple GenAI agents using configurable pass/fail criteria
- Improved performance through background task execution and multithreading
- Enhanced team collaboration with group-based access and file sharing
- Automated, downloadable evaluation reports for faster decision-making
