AI assistants on your documents (RAG)

A RAG assistant answers your team’s questions using only your documents and shows where each answer comes from. It finds in seconds what used to take hours.

How your assistant works

  • Document indexing

    PDFs, Word files, emails, procedures and archives are analysed and made searchable.

  • Answers with sources

    Each answer links to the document and passage used, so you can check in one click.

  • Access rights respected

    People only see the documents they can already open.

  • Hosting of your choice

    On your servers, with a European host or in your cloud.

How a RAG assistant works

  1. Prepare the documents

    Your files are converted to text, cleaned and split into coherent passages.

  2. Index the meaning

    Each passage becomes a vector representing its meaning, stored in a dedicated database.

  3. Retrieve the right passages

    For each question, the system finds the closest passages and checks access rights.

  4. Answer with sources

    The model writes the answer from those passages only and shows the references.

RAG or fine-tuning: side by side

CriterionRAG assistantFine-tuning
Up-to-date knowledgeYes, as soon as a document changesNo, retraining needed
Cites sourcesYesNo
Enforced style and formatPartlyYes
Time to deployA few weeksLonger: dataset and training
Best forProcedures, contracts, archivesSpecialised writing, classification

Real-world examples

  • A law firm that queries its case files in plain language.
  • A manufacturer that finds a quality procedure with one question.
  • An HR team that answers staff questions from the company handbook.

Frequently asked questions

What does RAG mean?

RAG stands for Retrieval-Augmented Generation: the AI first retrieves the relevant passages from your documents, then writes its answer from them.

Can the assistant make things up?

The risk is much lower, because it answers from your documents and cites them. When it finds nothing, it says so.

Related services

  • AI app development

    We build business software that uses AI to read, sort, summarise or draft for you.

  • AI agents and automation

    An AI agent chains several actions for you: it reads an email, updates the CRM, prepares an invoice and schedules a follow-up.

  • Model fine-tuning

    Fine-tuning specialises an open-source model in your field: your vocabulary, your style, your tasks.

  • Dataset creation

    A model is only as good as its data.

Let’s talk about your project

A free first conversation, with no commitment, to see what would really help your business.