Document RAG
Indexing, search, citations and contextualized answers. Chunking and retrieval strategy tailored to the corpus.
En clair : The answer shows where it comes from.
In plain terms
Search, cite, then act—under control.
RAG contextualizes answers with sources; agents plan tasks via secure connectors. Without reliable sources, the agent invents.
Every action can be traced, filtered, and submitted for human validation. MCP permissions and isolation prevent drift.
Knowledge governance (rights, freshness, corpus lifecycle) matters as much as the model. A rotten index produces rotten RAG.
Value measurement: resolution rate, useful citations, controlled refusals, inference costs. AI is steered like a business service.
RAGSourced answers
AgentsTool-enabled actions
HITLValidation
AuditTraces
What we do
Knowledge + controlled action.
Assistants and agents grounded in your IT landscape, with evidence and guardrails.
Business agents
Specialized assistants connected to enterprise tools. Clear business scope.
En clair : The agent works within a defined role.
MCP
Connectors, permissions, and controlled tool execution.
En clair : The tool is accessible only when authorized.
Agentic automation
Action chains, multi-agent workflows, and guardrails.
En clair : Playbooks, not improvisation.
Knowledge governance
Lifecycle, access rights, and corpus quality.
En clair : The knowledge base stays healthy.
Frequently asked questions
RAG & agents — details.
How do you avoid hallucinations?
Grounded RAG, confidence thresholds, controlled refusal, and passage citation. When knowledge is missing, the system must say so.
What is MCP?
Model Context Protocol: a standard to connect an agent to tools and data with permissions. Useful to industrialize connectors.
Which corpora to index?
Those with business value and clear rights. A clean corpus beats a fuzzy document lake.
Can agents write to the information system?
Yes under strict permissions, logging, and often human validation on critical actions.
On-prem possible?
Yes, building on sovereign AI infrastructure. SaaS is not a prerequisite.
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