Decision
Should I use RAG (Retrieval-Augmented Generation)?
Short answer
Yes, if the problem is genuinely 'answer questions from our own current documents' — RAG is almost always the right starting point for that specific problem, not a general-purpose AI upgrade.
Leans yes if
- —You need answers grounded in your own, current, or private documents
- —The source material changes regularly and answers need to reflect that without retraining anything
Leans no if
- —You actually need to change the model's tone/behavior/output format — that's fine-tuning's job, not RAG's
- —Your documents are too messy or unstructured to retrieve from usefully yet — fix that first
Go deeper
Have a project in mind?
Tell us what you're trying to automate or build — we'll reply with next steps, not a sales pitch.