RAG Chunking Strategies 2026: Production Patterns That Work

A deep dive into RAG chunking strategies for production systems in 2026. Covers why chunking is the most underrated component in RAG pipelines, and walks through fixed-size, structure-aware, semantic, and hierarchical (parent-child) chunking patterns. Key insights include: fixed-size chunking is a trap for structured documents; structure-aware chunking is where most production systems should be; semantic chunking is overrated except for unstructured prose; hierarchical chunking solves the retrieval-vs-generation context size mismatch; metadata enrichment multiplies retrieval quality; and tables, code blocks, and multi-column PDFs each require special handling. Includes practical advice on chunk size selection, overlap tuning, and how to detect chunking failures via recall-at-k evals and manual chunk inspection.