RAG chunking — 5 strategies with runnable Python
Originally published on aiunplugged.in — cross-posting for the Dev.to community. Chunking is the step that most RAG tutorials gloss over — "just split your documents into 500-token chunks" — and most retrieval problems trace back to. The right chunk strategy depends on the shape of the source documents and the shape of the queries, not on a blog post's default. This article walks the five…
We haven't written up this one. Dev.to has the full story — the link below goes straight to it.
