Brainlet

RAG vs CAG

Retrieval finds text. CAG prepares project knowledge.

Retrieval Augmented Generation is useful when the problem is finding relevant text. Software engineering often needs more: architecture, conventions, dependencies, impact paths, and constraints.

Aspect RAG CAG
Primary question Which files look relevant? What does the model need to know about this project?
Context Retrieved chunks Computed project intelligence
Architecture Search and prompt assembly Project graph, learned representations, and task tools
Failure mode Wrong or incomplete retrieved files Incomplete project model or missing analysis signal
Best use General knowledge lookup Project-aware coding, review, impact, and architecture work