11/02/2026
Before you retrain the model, check whether it has the right information.
RAG retrieves relevant material when a question is asked. Fine-tuning adapts model behavior using examples.
Those are different jobs.
For enterprise AI, the useful question is not “Which approach is better?” It is “What exactly is failing: the information, the behavior, or both?”
Our decision framework helps you separate those decisions before they become expensive assumptions
Read the RAG vs. fine-tuning decision framework:
https://liqteq.com/blog/rag-vs-fine-tuning-for-enterprise/