RAG VS CAG
A technical comparison of Retrieval-Augmented Generation (RAG) vs Cache-Augmented Generation (CAG) for personal and enterprise knowledge bases.
Technical Breakdown
| Capability | RAG | CAG |
|---|---|---|
| Latency | 500ms - 2s | < 50ms |
| Cost | Variable (Vector DB + Inference) | 90% Cheaper (Prompt Caching) |
| Context Window | Limited (Chunked) | Large (Full-context) |
| Reasoning Quality | Fragmented | Superior (Narrative Flow) |
The Verdict
Use CAG for static datasets under 1M tokens (Obsidian vaults, Docs). Use RAG for massive, frequently changing dynamic data.