Architecture Patterns for Production AI
Proven system architectures combining LangGraph, LlamaIndex, and observability for reliable production agents
Production-Ready Patterns
Choose your architecture based on use case, complexity, and observability needs
ARROW
Agentic Retrieval & Routing with Observability Workflow
Production-grade agentic system with retrieval, routing, and full observability
PRIMARY USE CASE
Complex multi-step agent workflows with reasoning and tool use
TECH STACK
BEST FOR
- • Enterprise AI
- • Multi-agent systems
API Gateway for request routing
Lambda/FastAPI streaming SSE
LangGraph + Claude/Bedrock orchestration
LlamaIndex RAG layer with chunking & re-ranking
Vector store (OpenSearch/pgvector)
Document ingestion pipeline
Langfuse + OTel observability
- Enterprise AI
- Multi-agent systems
- Full observability needs
- Production scale
Pattern Comparison
Quick reference: complexity, scale, and observability across patterns
| Pattern | Complexity | Production Ready | Observability | Setup Time |
|---|---|---|---|---|
| ARROW | ⭐⭐⭐⭐ Enterprise | ✅ Yes | ⭐ Full-Stack | 4-6 weeks |
| Simple RAG | ⭐ Low | ✅ Yes | Basic | 1-2 days |
| Multi-Agent Orchestration | ⭐⭐⭐ High | ✅ Yes | Excellent | 2-3 weeks |
| Streaming Agent | ⭐⭐ Medium | ✅ Yes | Good | 3-5 days |
| Guardrailed Agent | ⭐⭐⭐ High | ✅ Yes | Comprehensive | 3-4 weeks |
| RAG + Eval System | ⭐⭐ Medium | ✅ Yes | Excellent | 1-2 weeks |
| Thin Query, Thick Ingest | ⭐⭐⭐⭐ Enterprise | ✅ Yes | ⭐ Full-Stack | 3-6 weeks |
| Enterprise Multi-Agent | ⭐⭐⭐⭐ Enterprise | ✅ Yes | ⭐ Full-Stack | 6-12 weeks |
Ready to Build?
Pick your pattern, follow the framework, and deploy with confidence using our evaluation system.