Enterprise Knowledge Engine
Technical documentation for deploying secure, private RAG infrastructure.
Architecture Overview
Oxaide runs as a private RAG (Retrieval-Augmented Generation) layer on top of your existing knowledge base. It indexes your documents, orchestrates LLM queries, and enforces strict access controls before generating answers.
Implementation Steps
Data Ingestion
Connect your data sources (SharePoint, Google Drive, Notion) via our secure connectors.
Access Control & Indexing
Define user roles and permissions. Content is indexed and vectorised securely.
Agent Configuration
Configure tone, guardrails, and escalation paths for specific departments.
Deployment
Deploy via API, Web SDK, or directly into Slack/Teams/WhatsApp.
Hardware Requirements (Sovereign Edition)
Compute Architecture
- Apple Silicon (M2/M3 Ultra)
- NVIDIA CUDA (Ampere/Hopper)
Memory & Storage
- Min. 64GB Unified Memory (32B Model)
- 1TB NVMe SSD for Vector Indexing
Network
- Tailscale Subnet Router
- Direct LAN Connection (Air-Gapped)
Deployment Options
Cloudflare APAC
Zero-config deployment for general business teams.
Standard Cloud • InstantOn-Premise Air-Gap
Dockerized deployment for Mac Studio or NVIDIA Clusters.
Enterprise • Private RegistryPrivate VPC Peering
AWS / Azure Private Link integration for hybrid clouds.
Enterprise • Custom VPCCore Capabilities
Auto-Learning AI
Learns from your website, documents, and team conversations. Gets smarter every day.
Audit Logging
Comprehensive logs of every query, retrieval, and system action for compliance.