About This Architecture

AI Workdeck Self-Hosted Architecture combines a desktop Electron/Vue client with a Spring Boot backend orchestrating RAG pipelines, document AI, and LLM inference entirely on-premises. The system routes user requests through a Spring Boot API to an Agent Orchestration Engine that coordinates plugin execution, document editing via WPS, and AI service calls including embedding, OCR, and LLM endpoints. Evidence-Chain Store captures audit trails while Vector Database, Prompt Cache, and Model Registry enable efficient retrieval-augmented generation with safety guardrails. This architecture empowers organizations to deploy enterprise AI document workflows with full data sovereignty, compliance control, and customizable model selection. Fork and customize this diagram on Diagrams.so to adapt component choices, add external integrations, or document your own self-hosted AI stack. The modular plugin system and message queue design support scaling inference workloads independently from API services.

People also ask

How do I architect a self-hosted AI document processing system with RAG, LLM inference, and audit compliance?

This diagram shows a complete self-hosted AI Workdeck architecture where an Electron/Vue desktop client connects to a Spring Boot API Backend that orchestrates Agent Orchestration, RAG Pipeline, Embedding Service, Vector Database, LLM Model Endpoint, and OCR/Document-AI Service. Evidence-Chain Store captures audit trails, while Auth/Identity, Monitoring, and Logging ensure security and observabili

AI Workdeck Self-Hosted Architecture

AutoadvancedAI ArchitectureRAG PipelineSelf-HostedSpring BootLLM IntegrationDocument Processing
Domain: Ml PipelineAudience: ML engineers and platform architects building self-hosted AI document processing systems
0 views0 favoritesPublic

Created by

July 24, 2026

Updated

July 24, 2026 at 1:27 PM

Type

architecture

Need a custom architecture diagram?

Describe your architecture in plain English and get a production-ready Draw.io diagram in seconds. Works for AWS, Azure, GCP, Kubernetes, and more.

Generate with AI

AI-generated. Verify before production use. Learn more

Report this diagram