Advanced Local RAG Chunking Lab benchmarks complete-evidence recall

The author benchmarked five different RAG chunking strategies using a browser-native demo to evaluate complete-evidence recall rather than partial hit rates. The tests revealed that structure-aware chunking performs best when context budgets are scarce, while supervised optimizers struggle when their objective functions ignore retriever behavior. The author recommends measuring complete-evidence recall, matching chunk size to context budgets, and utilizing document structure when available. Open article →