AI AUTOMATION • REAL ENGINEERING • YOU OWN IT
← Glossary

Chunking

Splitting a long document into smaller pieces before storing it for retrieval.

A RAG system can't hand an entire document library to a model at once, so source documents are split into smaller chunks (by paragraph, section, or a fixed size) before being embedded and stored. How a document is chunked directly affects retrieval quality — chunks that are too small lose context, chunks that are too large dilute relevance.

Where this shows up in practice

Have a project in mind?

Tell us what you're trying to automate or build — we'll reply with next steps, not a sales pitch.