AI Strategy
When to use RAG vs fine-tuning for client projects
MAMavlers.ai Team·Jul 8, 2026·6 min
RAG and fine-tuning solve different problems. This is how we decide on real projects.
Reach for RAG when
The knowledge changes often, must be cited, or lives in documents. RAG keeps answers current and grounded.
Consider fine-tuning when
You need a consistent style, format or behaviour that prompting alone cannot reliably produce.
MA
Mavlers.ai Team
AI consultants, solution architects and engineers writing about delivering AI and automation under agency brands.