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- Retrieval-Augmented Generation in Practice
- Chunking and Embeddings
- Chunking strategies
Lesson 2.1
Chunking strategies
The retrieved passage is what the model sees.
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Overview
A chunk has to make sense alone
The retrieved passage is what the model sees. If a chunk boundary lands mid-argument, the model gets half a thought and answers from half a thought.
Splitting on document structure — headings, sections, paragraphs — beats fixed character counts, because those boundaries were chosen by an author to separate ideas. Fall back to a size limit only inside a section that is too long.
A modest overlap between adjacent chunks stops an answer that straddles a boundary from being lost by both. Too much overlap inflates the index and returns near-duplicates.
In this lesson you will:
- Split on structure rather than character count
- Choose a size that keeps a passage self-contained
- Use overlap to avoid cutting an answer in half
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When RAG is the wrong answer
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