AI & Machine Learning Templates
AI and machine learning architecture templates — RAG systems, AI agents, ML training pipelines, LLM apps, and MLOps flows. Turn a complex AI stack into a clear, shareable diagram.
11 templates
How LLMs Work
A clear map of how large language models turn a prompt into an answer — and the models and hardware behind them
Claude Code Architecture
How Claude Code reads your repository, calls tools through MCP, and edits code from the terminal
Codex Architecture
How an AI coding agent like Codex plans, writes and tests code inside a secure sandbox
AI Tool Ecosystem
Your AI stack as a living orbit — models, frameworks and vector stores revolving around the product they power
RAG Architecture Diagram
Map how retrieval-augmented generation grounds an LLM in your data with a vector database
AI Agent Architecture Diagram
Visualize the reasoning loop, tools, and memory that let an AI agent plan and act
ML Training Pipeline Diagram
Chart every stage from raw data to a trained, validated machine learning model
LLM Application Architecture Diagram
See how a production LLM app wires frontend, orchestration, model APIs, and guardrails
Recommendation System Architecture Diagram
Show how candidate generation, ranking, and filtering produce personalized recommendations
MLOps Pipeline Diagram
Trace the flow from training and CI/CD to deployment, monitoring, and retraining
Neural Network Architecture Diagram
Break down a feedforward neural network from input through hidden layers to output