Architecture Patterns for Production AI
Eight proven system architectures — from simple RAG to enterprise multi-agent. Each with a diagram, tech stack, and implementation guidance.
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Agentic Retrieval & Routing with Observability Workflow
The reference architecture for enterprise AI. Production-grade agentic system with retrieval, routing, and full observability across every layer.
Primary Use Case
Complex multi-step agent workflows with reasoning and tool use
Tech Stack
Architecture Components
Best For
Simple RAG
Retrieval-Augmented Generation
Straightforward RAG system for question-answering and information retrieval. The best starting point for MVPs and cost-conscious teams.
Primary Use Case
Q&A systems, document search, knowledge base queries
Tech Stack
Architecture Components
Best For
Multi-Agent Orchestration
Hierarchical Multi-Agent System
Multiple specialized agents working together with a coordinator. Research, analysis, decision, and review agents collaborate through shared state and inter-agent messaging.
Primary Use Case
Complex workflows requiring different expertise (analysis, research, decision)
Tech Stack
Architecture Components
Best For
Streaming Agent
Real-time Streaming Response Agent
Agent that streams responses progressively via SSE for real-time user experience. Token-by-token output with intermediate reasoning visible.
Primary Use Case
Real-time chat, live code generation, progressive content delivery
Tech Stack
Architecture Components
Best For
Guardrailed Agent
Safety & Compliance-First Agent
Agent with built-in safety checks, PII detection, and policy enforcement. Designed for regulated industries where compliance is non-negotiable.
Primary Use Case
Regulated industries, sensitive data handling, compliance requirements
Tech Stack
Architecture Components
Best For
RAG + Eval System
RAG with Continuous Evaluation
RAG pipeline with built-in evaluation, quality gates, and continuous monitoring. Every response is scored before reaching the user.
Primary Use Case
Production RAG with quality assurance and monitoring
Tech Stack
Architecture Components
Best For
Thin Query, Thick Ingest
MCP + Orchestrator + Intelligent Chunking
Optimized for heavy ingestion with intelligent chunking scenarios and lightweight query processing. MCP protocol exposes agents as tools with SSE streaming.
Primary Use Case
Large-scale document processing, multi-scenario chunking, SSE streaming
Tech Stack
Architecture Components
Best For
Enterprise Multi-Agent
Azure-Based Enterprise Multi-Agent System
Enterprise-grade multi-agent architecture with Azure services, agent pool, supervisor, and MCP orchestration. Secure, scalable, observable, and extensible.
Primary Use Case
Large-scale enterprise workflows with specialized agents and Azure integration
Tech Stack
Architecture Components
Best For
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