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What is Chunking?

AI Engineering

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Splitting documents into smaller segments for embedding and retrieval in RAG pipelines.

Chunking strategy significantly impacts RAG quality. Common approaches include fixed-size chunks with overlap, sentence-based splitting, semantic chunking, and recursive splitting by document structure. Typical chunk sizes range from 256 to 1024 tokens.

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