Chunking strategy is the way source documents are split into retrievable units for embedding, indexing, and RAG. Chunk size, overlap, boundaries, metadata, and hierarchy all affect retrieval quality.
Bad chunking creates bad context. Chunks that are too small may lose meaning. Chunks that are too large may dilute relevance. Developers should evaluate chunking by measuring retrieval quality and downstream answer quality, not by guessing a universal token size.