Enterprise AI Glossary · Reviewed June 2026
Chunking
Splitting documents into smaller segments for embedding and retrieval in a RAG pipeline.
What is Chunking?
Chunking is the preprocessing step that determines RAG quality. Too large and the embedding is diluted; too small and you lose context. Strategies include fixed-size, sentence-boundary, semantic, and hierarchical chunking. The right choice depends on document type, embedding model, and downstream task. See RAG Technology Best Practices.
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Putting Chunking to work?
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