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AI-Native Architecture

AI-native design patterns, ethics, governance, and architecture frameworks.

TOGAF ADM NIST CSF ISO 27001 AWS Well-Architected AI-Native 5 subsections

Subsections

Select a subsection to view its full documentation, HTML reference, and Mermaid diagram.

ai/architecture/
AI Architecture
LLM integration patterns, RAG architecture, agentic orchestration, vector store selection, and AI gateway design.
README.md index.html diagram.mmd
ai/ethics/
AI Ethics
Responsible AI: fairness, accountability, transparency, explainability (FATE), and bias mitigation frameworks.
README.md index.html diagram.mmd
ai/security/
AI Security
Prompt injection, jailbreak prevention, model inversion, supply chain attacks, and AI red teaming.
README.md index.html diagram.mmd
ai/monitoring/
AI Monitoring
Model drift detection, data quality monitoring, LLM output evaluation, hallucination detection, and LLMOps.
README.md index.html diagram.mmd
ai/rag/
RAG Architecture
Retrieval-Augmented Generation: chunking strategies, embedding models, vector stores, reranking, and hybrid search.
README.md index.html diagram.mmd