AI resources to understand before you choose.
AI resources that connect what the models can do to your data, your teams and your constraints.
The AI resources that inform your decision.
AI resources to move from discovery to practice.
Getting started with Narratheque
The first bearings for the interface and for creating bases.
Lire la ressource ↗ArticleUnderstanding shadow AI
Why a shared framework becomes necessary as uses multiply.
Lire la ressource ↗ApprocheVector RAG and LLM wiki
Exploring different ways of organising and drawing on a corpus.
Lire la ressource ↗DocumentationData protection
The documentation for the module devoted to identifying information.
Lire la ressource ↗ArticleSovereign knowledge bases
Going deeper into keeping control of your documentary assets.
Lire la ressource ↗BlogAll the articles
Narratheque’s analyses, news and reflections in one place.
Lire la ressource ↗What you want to know about our AI resources.
Where should I start if I know nothing about the subject?
With RAG. It is the mechanism that lets a model answer from your documents rather than from its general knowledge alone. Everything else — choosing models, protecting data, the wiki — is easier to grasp afterwards.
Is this material only for technical readers?
No. It is written for business leads who have to decide: what can be handed to an AI, what must stay out, and what that demands of the organisation. Technical detail is flagged when it changes a decision.
How often is it updated?
The underlying bearings barely move. Anything that depends on providers — available models, processing terms, pricing — is dated in the text: check the date before relying on it.
Can I ask a question that is covered nowhere?
Yes. Describe your case in the contact form: a precise question is often worth an article, and then serves other readers too.
Your knowledge already has value.
Our AI resources help you begin.
Let us start from your data, your teams and a first concrete need.
