RAG or Fine-Tuning?
Two main approaches stand out in enterprise LLM projects: Retrieval-Augmented Generation (RAG) and fine-tuning. The right choice; Privacy, timeliness, and cost depend on your goals.
Comparison Matrix
- RAG: up-to-date content, low data copy, strong access control.
- Fine-tuning: style/tone harmony and more consistent results in special tasks.
Hybrid Strategy
For most institutions, the best way is to use RAG+ light fine-tuning. Evaluation metrics, safety and guardrail policies should be designed together.
Outcome: the business goal → architecture match determines success.
