AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep some context across a session. Today, we have long-horizon agents. Systems that plan many steps, split work between sub-agents, keep context across a long task, and run tools in a safe sandbox.
The NVIDIA AI-Q Blueprint is an open source reference for this kind of agent. It is built on LangChain Deep Agents and the NVIDIA NeMo Agent Toolkit. You can use it for quick cited answers, or for longer research reports with sources.
This post shows you how to deploy AI-Q 2.0 on Oracle Cloud Infrastructure (OCI) using Terraform to create the OCI resources and Helm to install the workloads on OKE. By the end, you will have a working AI-Q endpoint in your own OCI tenancy, and one command to take it all down when you are done.
Who this is for: Developers and platform engineers comfortable with Kubernetes, Terraform, and the shell, and who want to run AI-Q on OCI rather than on a laptop.
What you’ll learn: How AI-Q’s multi-agent architecture maps to OCI services, plus the exact commands to provision, deploy, and open the blueprint from start to finish.
