Chunking: the most underrated decision in your RAG pipeline
This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.
Ask a team how their RAG pipeline works and they will tell you about the embedding model, the vector database, and maybe the reranker. Ask them how they chunk their documents and you will usually get "uh, 500 tokens with some overlap? Whatever the default was." That default is quietly deciding the…
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- 2026-08-24 06:53 · DEV Community — AI
Chunking: the most underrated decision in your RAG pipeline