RAG architecture describes the end-to-end system design for retrieval, ranking, and generation in a production application.

Agent architecture describes how planning, memory, tools, and orchestration fit together in a production agent system.

AI gateway architecture describes how requests are routed, authenticated, and load balanced across model providers.

Multi-tenant AI architecture isolates data, usage, and configuration between customers sharing the same underlying AI system.

Scalable AI architecture handles growing request volume and data size without degrading latency or reliability.

AI security architecture designs how an AI system enforces authentication, data protection, and safe tool use end to end.

AI data architecture designs how data is ingested, stored, processed, and made available to models and retrieval systems.