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Usually the chunk boundary is cutting through the middle of the fact. If you split on a fixed token count, the retrieved chunk can contain the subject of a sentence but not its object, and the model then fills the gap by guessing. Split on document structure such as headings, paragraphs, or list items, with a small overlap, so a complete fact lands inside one chunk. Upgrading the embedding model rarely recovers what bad chunking loses.

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Answer selected by martex-dev
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