Intelligent Q&A for Smart Grids
Optimizing RAG systems with iterative retrieval for complex infrastructure
A novel iterative retrieval Q&A system that enhances performance in complex smart grid environments by improving retrieval quality and response relevance.
- Addresses key limitations in conventional RAG systems for dynamic, technical domains
- Optimizes handling of large-scale, real-time data streams in grid management
- Combines large language models with specialized retrieval enhancement techniques
- Improves operational efficiency for engineering applications in smart infrastructure
This research provides engineering teams with more accurate and responsive Q&A capabilities for monitoring, maintenance, and troubleshooting of critical grid infrastructure, enabling better real-time decision support.