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.
7 templates
Map how retrieval-augmented generation grounds an LLM in your data with a vector database
Visualize the reasoning loop, tools, and memory that let an AI agent plan and act
Chart every stage from raw data to a trained, validated machine learning model
See how a production LLM app wires frontend, orchestration, model APIs, and guardrails
Show how candidate generation, ranking, and filtering produce personalized recommendations
Trace the flow from training and CI/CD to deployment, monitoring, and retraining
Break down a feedforward neural network from input through hidden layers to output