AI & automation · Guide

RAG or fine-tuning?

Access to current knowledge and behavioural adaptation are different needs. Start by identifying what your system must learn, retrieve or execute.

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SAMA TECHLY / KNOWLEDGE

What matters

RAG

Retrieve information from a corpus. Quality depends on documents, retrieval and response faithfulness.

Fine-tuning

Adapt a model using examples for a defined behaviour. It requires suitable data and evaluation separate from training.

Decision

Test a simple approach first and measure its limits. Both methods can be combined when justified.

Check in your context

Prepare the next step

A real task example and its exceptions
Current tools and available access
Permitted data and the role of human review
A baseline metric to assess outcomes

An explicit scope, documented rules and a validation protocol. Access and responsibilities are defined before launch.

Useful references

AWS — Retrieval Augmented Generation ↗

SAMA / ANSWERS

Essential questions

How should I use this guide?

Apply the criteria to your situation and note assumptions to verify. Technical choices and costs need confirmation against your actual scope.

What should I prepare for a first conversation?

Your objective, a representative example and known constraints are enough to start. Sensitive documents or access are reviewed later within an appropriate framework.

SAMA TECHLY / Let’s talk about your projectAdvanced technology. A human touch.

YOUR NEXT CHAPTER

Let’s scope your project.

An idea, a process to improve, visibility to build. Let’s start with your objective.

hello@sama-techly.com Let’s talk about your project ↗