semantic chunking

Surveys chunking methods for Retrieval-Augmented Generation and how they affect retrieval quality and cost. Compares fixed-size, sentence/paragraph, semantic, and recursive splitting, plus overlap and sliding windows. Guides chunk-size selection, hybrid and heading-aware splits, metadata linking, and evaluation. Includes tips for code, tables, PDFs, and using reranking to boost relevance.