LLM-Based Chunking
~10 min read
Prompt an LLM to directly generate semantically isolated and meaningful chunks. Highest semantic accuracy of all five strategies, but also the most computationally demanding.
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Key points
- •Prompts an LLM directly to produce semantically isolated, meaningful chunks — no heuristics, actual understanding
- •Highest semantic accuracy of all 5 chunking strategies, since it goes beyond character counts, similarity, or structure
- •Most computationally demanding of the 5 — requires an LLM inference call per document rather than a cheap operation
- •LLMs' own limited context window means very large documents may need pre-splitting before this technique can even run
- •Typically reserved for high-stakes retrieval scenarios where the accuracy gain justifies the extra cost over semantic chunking