Chunking

Plain-English explanation

Chunking affects RAG quality. Chunks should preserve meaning, fit model context, include metadata, and avoid splitting important tables or procedures badly.

Why it matters

Chunking matters because it affects how AI systems are designed, evaluated, priced, or trusted. Knowing the term helps you ask better questions and avoid vague implementation decisions.

• Ask how it changes quality, cost, speed, or safety.
• Look for concrete examples in the workflow you are building.
• Document the tradeoff before choosing a tool or architecture.