A backend-focused Azure architecture connecting separate application services to private data, containers, retrieval, document processing, secrets, and observability.
A generative-AI application needed retrieval, document processing, and managed data services behind controlled public and private boundaries. Frontend and backend responsibilities also needed to remain independently deployable and observable.
A governed RAG foundation that separates backend, AI, data, and operations responsibilities and supports a controlled path from proof of concept to production.
Backend service architecture, API and data boundaries, and AI integration