4 min readAgentic AI in Practice
Shipping Agentic RAG to Production
What changes when a RAG system stops being a demo and has to serve real users: retrieval quality, tool use, evaluation, and guardrails.
#rag#agentic-ai#llm#mlops
Sudbury / Toronto, Ontario, Canada
Senior ML Engineer & AI Contractor | AI/NLP/Linux Professor
I design and ship agentic AI and LLM systems in production, and I teach the next cohort of ML engineers.
Focus
What changes when a RAG system stops being a demo and has to serve real users: retrieval quality, tool use, evaluation, and guardrails.
You do not need a platform team to ship models reliably. A pragmatic MLOps stack for small teams using containers, CI/CD, and managed cloud.