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Enterprise RAG workspace
Premier Nexus
A secure AI workspace for document ingestion, RAG, role-based access, model routing, speech capabilities, and workspace-isolated chat.
Multi-tenant RAG54 active routesCost-aware model routing
Enterprise RAG workspacePublic architecture view with sensitive client data removed
System flowInputs, tools, model routing, storage, and review states
Production controlsAuth, cost tracking, audit logs, and human review
Problem
Teams needed a controlled internal AI workspace that could answer questions from private documents while keeping users, workspaces, and costs separated.
Approach
- Designed document ingestion across PDFs, DOCX, and CSV files with vector retrieval for grounded answers.
- Added model-aware routing and retries across providers to improve reliability.
- Built workspace access, API keys, and usage tracking for enterprise control.
Architecture
- Documents are uploaded, parsed, embedded, and stored per workspace.
- Chat requests retrieve relevant context and route through the selected model provider.
- Usage logs track tokens, costs, and response behavior.
- Speech integrations support voice-based workflows where needed.
Production
- Workspace isolation reduces accidental data bleed.
- Rate limits and API key controls support external integrations.
- Streaming responses improve perceived latency for long answers.
Result
The platform created a practical internal AI layer for knowledge work, with governance features beyond a simple chatbot.
Stack