KNOWLEDGE / PRIVATE RAG

Your knowledge becomes accessible.
Each response remains traceable.

A private RAG allows your teams to query documents of the company in natural language, with answers linked to sources and access respecting your rules.

A SOLUTION DESIGNED FOR THE BUSINESS

Find the right information, with its proof.

Generation augmented by retrieval selects the relevant passages before producing a response. Users save time while retaining the possibility of verifying each information in its original document.

01

Sourced answers

Each result can refer to the passages and documents used to facilitate verification.

02

Controlled access

The answers take into account the authorized bases and the rights associated with the users.

03

Up-to-date knowledge

Corpus evolve with your documents without requiring full retraining of the model.

OUR APPROACH

From scattered documents to an exploitable base.

The quality of a RAG depends as much on the preparation of the sources as on the model. We work on structure, metadata, research and evaluation.

  1. 01

    Inventory

    Map sources, formats, owners and confidentiality levels.

  2. 02

    Prepare

    Clean, segment and enrich documents with useful metadata.

  3. 03

    Evaluate

    Test the relevance of research and the fidelity of answers on real questions.

  4. 04

    Exploit

    Deploy interfaces, rights, measures and update cycles.

YOUR PROJECT

Let's move from your need to a first use case.

Present your project →