Why RAG
Bring the data to the model, not the other way around
Fine-tuning bakes knowledge into weights and gets stale fast. RAG injects fresh, authorized context into the prompt at query time. It is cheaper, more auditable, and easier to update.
Retrieval-augmented generation on KubernetesHow to make an LLM speak about your private data without retraining it