I created a quick decision framework at Welzin to help teams choose between Retrieval‑Augmented Generation (RAG), fine‑tuning, or a hybrid RAFT approach in under five minutes.
✅ Choose RAG when: You need real‑time, accurate information; Your data changes frequently.
✅ Choose Fine‑Tuning when: You’re working with niche jargon or domain‑specific language; Your knowledge base is relatively stable.
✅ Choose Hybrid (RAFT) when: You need both deep expertise AND up‑to‑date facts; You’re building complex reasoning systems or working in regulated industries; You want the best of both worlds: learned patterns + grounded retrieval.
The framework also includes a cheat sheet that compares cost, latency, and transparency trade‑offs for each approach and lists real‑world use cases. See the top comment of the original post for the link.