Agentic RAG turns retrieval into a search‑read‑decide loop
A short tutorial builds a policy‑question answering agent with the OpenAI Agents SDK. The agent iteratively searches, reads, and decides if it has enough evidence, stitching together multiple documents instead of relying on a single vector hit. The pattern cuts hallucinations and shows a practical agentic RAG workflow.