Improving Retrieval with Semantic Boundary Chunking
bigaiguy · x · 2026-07-11
The author introduces the first technique: Semantic Boundary Chunking.
The key is to avoid splitting text into chunks based on fixed character counts. Instead, text should be divided based on semantic completeness, ensuring each chunk contains a complete idea, argument, or step. The rationale is that mechanical splitting truncates sentences, causing the model to retrieve only half a concept, which it then tries to complete on its own, leading to hallucinations. The author claims that splitting at natural semantic breakpoints improved retrieval accuracy on internal benchmarks by 34%.
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