Semantic Chunking overview

Semantic Chunking as a cross-cutting topic — strategies for splitting documents into meaningful units for embedding and retrieval. Covers fixed-size chunking, sentence-level splitting, semantic boundary detection, hierarchical chunking (parent-child relationships), code-aware chunking (function/class boundaries), overlap strategies, and the impact of chunk size on retrieval precision and recall.