Included in Fararoni OS
Deterministic RAG
- Looks up your documents at answer time.
- You update the information without retraining.
- Ideal for changing data: prices, policies, inventory.
Model engineering · Service
Optimize intellect
A model that learns the language of your business.
When RAG already answers from your documents but you need more control over tone, format or reasoning, we fine-tune an open model with your own data. It is an optional service: we only propose it when the diagnosis shows it is needed.
RAG first, tuning later
RAG or fine-tuning?
They don't compete: they complement each other. RAG gives the agent what to know; fine-tuning teaches it how to answer.
Add-on service
Fine-tuning
- The model learns your vocabulary, formats and style.
- Fewer instructions per message, more consistent answers.
- A smaller model can perform better on a specific task.
Signs that RAG is no longer enough
- 01
Answers are correct, but the format changes from one time to the next.
- 02
Your industry uses jargon, acronyms or rules the base model doesn't understand.
- 03
You need a smaller, faster model for your own hardware.
- 04
Repetitive classification or extraction tasks that must always come out the same.
How we work
From the demo to your own model
- Step 1
Demo
30 to 45 minutes. You see Fararoni answering with sample data, offline.
- Step 2
RAG pilot
The agent works with your real documents. We measure how well it answers.
- Step 3
Diagnosis
1 to 2 weeks. Together we decide whether RAG is enough or a model is worth tuning.
- Step 4 · If needed
Fine-tuning and evaluation
We train, compare against the base model and deliver the model ready to run on your network.
Fine-tuning proven on enterprise-grade GPU infrastructure
Fararoni IA is a member of the NVIDIA Inception program for startups. We develop and test our fine-tuning process on enterprise-grade GPU infrastructure, so your model arrives evaluated and ready to run on your network.
Your data and your model
Start with the demo.
If you need more control after the RAG pilot, fine-tuning is the next step.