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Reference Architecture

Concepts

  • Agentic AI Reference Architecture - This section provides comprehensive reference architectures, blueprints, and implementation patterns for building production-ready agentic AI systems
  • Agent0 Series: Self-Evolving Agents from Zero Data - Reference architecture for self-evolving AI agents that can learn and adapt from minimal initial data
  • AI Assistant Reference Architecture - AI Assistant architectures provide comprehensive patterns for building intelligent assistant systems that can understand context, maintain conversations, perform complex tasks, and integrate seamle...
  • AI Assistant Reference Architecture - Comprehensive reference architecture for building AI assistant systems
  • AI Automation Reference Architecture - AI Automation frameworks provide the foundation for building sophisticated multi-agent systems that can handle complex, multi-step workflows with minimal human intervention
  • AI Engineering Architecture - This page describes the production architecture for foundation model applications, synthesized from Chip Huyen's AI Engineering (O'Reilly, 2025, Chapter 10)
  • LangManus – AI Automation Framework - LangManus framework for building AI automation systems and workflows
  • RAG Reference Architecture - Retrieval-Augmented Generation (RAG) architectures combine the power of large language models with external knowledge retrieval systems to provide accurate, up-to-date, and contextually relevant re...
  • Self-Learning Agents Reference Architecture - Self-learning agents represent the next evolution in AI systems - agents that can autonomously improve their capabilities, learn from experience, and evolve without requiring human-annotated data
  • Specialized Domain Blueprints - Specialized domain blueprints provide industry-specific reference architectures and implementations that address unique requirements, workflows, and challenges in particular domains