BREEZE (Balanced Research and Expert Engagement for Zonal Exploration)
A streamlined research system that generates comprehensive Wikipedia-style articles through multi-perspective expert engagement and focused topic exploration.
Overview
BREEZE is inspired by STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) developed by Shao et al. While STORM focuses on broad research capabilities, BREEZE refines this approach specifically for Wikipedia-style article generation with:
- Streamlined architecture focused on article generation
- Enhanced topic validation and scoping
- Structured expert interview process
- Robust citation handling and fact-checking
Features
How It Works
Example Topics
- Technical: "Impact of Large Language Models on Software Development"
- Business: "The Rise of AI-Powered Customer Service"
- General: "History and Evolution of Electric Vehicles"
Limitations
- Quality depends on available online sources
- May require topic refinement for very broad subjects
- Citations limited to publicly accessible sources
Credits
BREEZE builds upon the innovative foundation laid by STORM (Shao et al.), as documented in the LangGraph documentation. We've refined their approach of outline-driven research and multi-perspective conversations while adding specialized enhancements for Wikipedia-style article generation.