Chunk RAG Documents by Semantic Boundaries
thisguyknowsai · x · 2026-07-11
This covers Technique 1: Semantic Boundary Chunking, the start of the thread.
The core idea is not to chunk documents by fixed character count, but by whether a thought/argument/step is complete. Fixed-length splitting cuts sentences or concepts, causing the model to receive half a concept and hallucinate.
The author reports that after chunking by identifying natural semantic breakpoints, retrieval accuracy on internal benchmarks improved by 34%.
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