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What is semantic chunking, and how does it compare to fixed-size chunking?

Fixed-size chunking splits a coherent idea mid-thought; semantic chunking splits on meaning. The signal is naming the methods (structure-aware, embedding-similarity, LLM-based) and the tradeoffs that decide which one to ship.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Fixed-size chunking splits a coherent idea mid-thought; semantic chunking splits on meaning. The signal is naming the methods (structure-aware, embedding-similarity, LLM-based) and the tradeoffs that decide which one to ship.

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