This section documents everything you need to plan, size, and deploy the Pragatix / BusinessGPT system. Start with Architecture & Components if you're new; jump to Sizing & Hardware or Deployment Topologies if you know what you're scoping.
1. Architecture & Components
What the system is made of and how data flows through it.
2. Deployment Guide
How to actually deploy — start here for any new install.
Deployment Overview — master deployment doc
3. Sizing & Hardware
Canonical sizing tables, GPU compatibility, and cost references. Hardware Sizing is the source of truth for all GPU/CPU/RAM tables.
Hardware Sizing ⭐ canonical sizing tables (small → enterprise)
4. Deployment Topologies
Pick the environment that matches your deployment.
5. Scaling & Operations
PgVector Scaling
6. Security & Compliance
Pages still in this tree but not topically a fit:
AI Firewall - Questionnaire — sales/onboarding artefact, consider moving to a Sales section
How to create an Azure integration with BusinessGPT — operational how-to, consider moving to an Integrations section
Merged pages (stubs kept for incoming links — safe to delete after link cleanup):
Distributed Server Deployment → merged into On-prem
Cloud Private AI Cloud Costs (AWS & Runpod) → merged into GPU & LLM Hardware Costs