Architecture Library
Reference architectures for AI and data systems — patterns I design and implement for enterprise clients.
Enterprise RAG Architecture
GenAIProduction-ready Retrieval-Augmented Generation system with ingestion pipeline, vector store, retrieval layer, and LLM response generation with citation tracking.
┌─────────────────────────────────────────────────┐ │ ENTERPRISE RAG SYSTEM │ ├──────────────────┬──────────────────────────────┤ │ Ingestion │ Query Processing │ │ Pipeline │ │ │ │ User Query │ │ ┌───────────┐ │ │ │ │ │ Document │ │ ▼ │ │ │ Store │ │ Embedding Model │ │ └─────┬─────┘ │ │ │ │ │ │ ▼ │ │ Chunking │ Vector Search ──────────► │ │ │ │ │ Vector DB │ │ Embedding │ ▼ │ │ │ │ LLM + Context │ │ ▼ │ │ │ │ Vector DB │ ▼ │ └──────────────────┴── Response + Citations ──────┘
Key Components
Document Ingestion
Chunking & Embedding
Vector Store
Retrieval Engine
LLM Generation
Response API
Data Mesh Architecture
Data PlatformFederated data ownership model with domain-oriented data products, self-serve data infrastructure, and federated computational governance on Snowflake.
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Finance │ │ Customer │ │ Product │
│ Domain │ │ Domain │ │ Domain │
│ │ │ │ │ │
│Data Owner│ │Data Owner│ │Data Owner│
└────┬─────┘ └────┬─────┘ └────┬─────┘
│ │ │
└──────────────┼──────────────┘
│
┌──────▼───────┐
│ Snowflake │
│ Data Platform│
│ │
│ ┌──────────┐ │
│ │ Catalog │ │
│ │ Policies │ │
└─┴────┬─────┴─┘
│
┌──────▼───────┐
│ Consumers │
│ (BI/AI/ML) │
└──────────────┘Key Components
Domain Teams
Data Products
Snowflake Platform
Data Catalog
Policy Engine
Consumers
Event-Driven AI Pipeline
ArchitectureReal-time AI processing pipeline with event streaming, model inference, and downstream system updates for near real-time business intelligence.
Source Events Processing Output
│ │ │
┌────▼────┐ ┌────▼────┐ ┌────▼────┐
│ Kafka │─────────►│ Stream │────────►│Dashboard│
│ Pub-Sub │ │Processor│ └─────────┘
└─────────┘ └────┬────┘ ┌─────────┐
│ ────────────►│ Alerts │
┌──────▼──────┐ └─────────┘
│ AI Model │ ┌─────────┐
│ Inference │───────►│Data Lake│
└──────┬──────┘ └─────────┘
│
┌──────▼──────┐
│Feature Store│
└─────────────┘Key Components
Event Source
Kafka / Pub-Sub
Stream Processor
AI Model
Feature Store
Output Systems
Multi-Agent AI System
GenAISupervisor-agent pattern for complex task decomposition — a supervisor LLM routes tasks to specialized sub-agents with shared memory and tool access.
User Task
│
┌──────────▼──────────┐
│ Supervisor Agent │
│ (LLM Orchestrator) │
└──┬───────┬───────┬──┘
│ │ │
┌────▼──┐ ┌──▼───┐ ┌─▼──────┐
│Research│ │Write │ │Validate│
│ Agent │ │Agent │ │ Agent │
└────┬──┘ └──┬───┘ └─┬──────┘
│ │ │
└───────┼────────┘
│
┌─────▼─────┐
│ Tools │
│ Web/DB/API│
└─────┬─────┘
│
Human-in-Loop?
│
OutputKey Components
Orchestrator
Specialist Agents
Tool Layer
Memory Store
Human Checkpoint
Output