Sourced answers
Each result can refer to the passages and documents used to facilitate verification.
KNOWLEDGE / PRIVATE RAG
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
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.
Each result can refer to the passages and documents used to facilitate verification.
The answers take into account the authorized bases and the rights associated with the users.
Corpus evolve with your documents without requiring full retraining of the model.
OUR APPROACH
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.
Map sources, formats, owners and confidentiality levels.
Clean, segment and enrich documents with useful metadata.
Test the relevance of research and the fidelity of answers on real questions.
Deploy interfaces, rights, measures and update cycles.
YOUR PROJECT