The RAG Chunking Strategy That Beat All the Trendy Ones in Production

TL;DR AI
2 min readKey summary
A benchmark of six RAG chunking strategies on 2,300 technical-doc pages and 1,200 questions found chunking choice strongly affects retrieval quality.
The study measured context recall and precision, showing that structure-aware chunking outperformed simple default methods.
Using approaches like RecursiveCharacterTextSplitter and SemanticChunker can materially change hallucination risk and production accuracy.
The takeaway: chunking is not a minor implementation detail; it is a major lever for RAG performance.

