End-to-end machine learning pipeline from raw data ingestion through feature engineering, model training, evaluation, and deployment.
Retrieval-Augmented Generation architecture showing document ingestion, vector storage, semantic search, and LLM response generation.
Sequence diagram of an AI agent processing a request through planning, tool selection, execution, and iterative refinement.
Extract-Transform-Load pipeline showing data flow from multiple sources through transformation stages into a data warehouse.
Pie chart showing the distribution of LLM API costs across different models and usage categories in a typical AI application.
XY chart comparing model accuracy across training epochs, useful for visualizing training progress and comparing model variants.
Sankey diagram showing data volume flowing through a real-time streaming pipeline from producers through processing to consumers.