Use Case
Retrieval-Augmented Generation (RAG)
Turn your scattered PDFs, knowledge bases and docs into a private, queryable intelligence layer – backed by Arion’s dedicated AI workspaces.
What this solves
- Teams asking the same questions across Confluence, SharePoint, Notion, and shared drives.
- Risk of pushing sensitive documents into ungoverned, public AI tools.
- Hard to keep answers aligned to the latest policies and content.
How Arion Flow helps
- Ingest content from your systems into a private vector store tied to your workspace.
- Use modern RAG patterns to ground answers in your real content, not generic model knowledge.
- Isolate workspaces by project, client, or department for clean governance lines.
Example flows
Support copilots: build an internal assistant that answers from your manuals, run books and KB articles.
Sales enablement: create a “deal desk” that summarises case studies, proposals and product docs for each opportunity.
Policy QA: ask plain language questions and get answers grounded directly in your policies and procedures.