For most businesses, retrieval (RAG) — grounding AI in your own documents — is the right starting point: it’s accurate, keeps answers current, and is easier to control. Fine-tuning suits specialised tone or format needs at scale. Many real solutions use a bit of both.
If you’ve started looking into AI for your business, you’ve probably run into two terms: RAG and fine-tuning. They sound technical, but the difference is simple, and choosing well matters because it affects accuracy, cost and how much control you have.
RAG, in plain English
RAG (retrieval-augmented generation) means the AI looks up the relevant information from your own content — your documents, policies, products — and answers based on that. Think of it as giving the AI an open, always-current reference book of your business.
- Accurate and grounded: answers come from your approved content, not the model’s guesswork.
- Always current: update a document and the AI’s answers update too.
- Easier to control: you can see and manage the source of every answer.
This is why RAG underpins most practical AI customer support and document processing solutions.
Fine-tuning, in plain English
Fine-tuning adjusts the AI model itself by training it on examples, so it learns a particular style, tone or format. It’s powerful when you need consistent, specialised output at scale — but it’s more involved, the “knowledge” is baked in at training time (so it can go stale), and it’s harder to trace why the AI said what it did.
Which should you choose?
Start with RAG. Reach for fine-tuning only when you have a specific, proven need for specialised tone or format that retrieval alone can’t deliver.
For the large majority of New Zealand businesses, grounding AI in your own content gives the best mix of accuracy, control and value — and it keeps your data in your hands. Many real-world solutions combine the two: retrieval for the facts, light tuning for the voice.
The honest answer: it depends on your problem
The right approach follows the problem, not the hype. That’s how we scope every AI business solution — starting from what you actually need, fixed-price, with your data kept in New Zealand and aligned with the Privacy Act 2020.