Approved material only
A private RAG system must define which documents are authoritative, who owns them, and how drafts or archives are excluded from production answers.
Private RAG architecture
Private RAG architecture for governed knowledge workflows
We design retrieval systems that answer from approved internal sources, respect access boundaries, and produce evidence your teams can inspect.
Problem and risk
Knowledge assistants need controls before scale
Internal assistants become risky when they search unmanaged folders, mix outdated procedures with current policies, or answer without citations. The business issue is not only hallucination; it is untraceable execution based on uncertain sources.
Retrieval follows permissions
Corpora, identities, and department boundaries need to be modeled before connecting chat interfaces to sensitive internal knowledge.
Quality is measured after launch
Update cadence, citation quality, refusal behavior, and drift monitoring keep the assistant useful after the first pilot.
Fit and delivery
Built for teams that depend on internal documentation
We focus on buyer workflows where wrong answers create SLA misses, safety issues, rework, or customer-impacting decisions.
Who this is for
Operations, support, compliance, quality, and technical teams that rely on manuals, policies, ticket history, or engineering documentation.
What we deliver
Source inventory, ingestion and re-indexing policy, permission-aware retrieval, citations, audit logging, evaluation sets, telemetry, and an operating runbook.
How engagement works
We map sources, roles, sensitivity, and target workflows first; then the pilot is tested against real questions, citations, permission boundaries, and failure cases.
Turn internal knowledge into a governed retrieval workflow
Begin with source governance, permission boundaries, and evaluation criteria before launching an assistant.