RAG vs fine-tuning: which should your LLM app use?
Use retrieval-augmented generation (RAG) when your app needs facts that change or answers you must cite, and fine-tuning when the model must behave differently, such as a strict format or tone. Nodus runs both halves: an OpenAI-compatible inference API with embeddings for the retrieval side, and Lo…
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- 2026-11-06 00:17 · DEV Community — Machine Learning
RAG vs fine-tuning: which should your LLM app use?