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A developer built a minimal agentic RAG workflow using the OpenAI Agents SDK. The agent iteratively searches, reads, and decides whether it has enough evidence before answering. The case study uses six synthetic company policy documents. The agent called search_docs, list_docs, and read_doc tools to produce a grounded answer.
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