That's great to hear! Building that semantic structuring module, especially with a MECE approach, would significantly enhance the pipeline's value for complex downstream tasks like knowledge graph creation or advanced RAG systems.

The challenge often lies in defining the right hierarchical taxonomy and relationship types for diverse document domains. If you're exploring approaches, principles from enterprise knowledge management and structured ontologies might offer useful parallels.

Excited to see how this evolves! It addresses a critical gap in the ML data preparation landscape.