Chunking subnet optimizes document segmentation for RAG (Retrieval Augmented Generation) pipelines and embedding workflows. Intelligent chunking preserves semantic boundaries and context, improving retrieval quality for vector databases. Miners compete to produce the best text segmentation strategies while validators evaluate chunk quality against retrieval performance metrics.