RAG vs Fine-Tuning for Enterprise Knowledge
Which approach fits your documents, update cadence and security needs.
RAG for changing knowledge
Retrieval keeps answers current and citable without retraining.
Fine-tuning for style and format
Useful for consistent outputs, less so for facts that change.
Often both
Many production systems combine retrieval with lightly tuned models.