Boost RAG QA accuracy 15+ points by enriching chunks with metadata — no architecture change
RAG Chunking Strategies & Embeddings Optimization: The 2026 Benchmark Guide·medium signal
The 2026 chunking benchmark found that attaching metadata to chunks (source, section, titles, dates) lifts QA accuracy from ~50–60% to 72–75% without touching the retrieval architecture or embedding model. It's one of the highest-ROI RAG improvements because it's a data-preparation change, not a re-platforming. Pair it with the standard 512-token/10–20% overlap baseline before reaching for fancier retrieval.