RAG Chunking, Tested: What Actually Improves Retrieval
Chunking is the step in a RAG pipeline where long documents are split into small passages before they are embedded. Each passage becomes one retrievable unit, so the chunk boundaries decide exactly what the retriever can and cannot return. Get them wrong and the correct answer sits in your corpus b…
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- 2026-10-19 04:03 · DEV Community — Machine Learning
RAG Chunking, Tested: What Actually Improves Retrieval