Agentic RAG: The Complete Production Guide Nobody Else Wrote

<p>The grader rejects retrieved documents. The system reformulates the query and tries again. The new retrieval also fails the grader. The system loops. Without a retry cap and loop detection, this runs until you hit your rate limit or your daily cost cap. I saw this cost a client $340 in a single afternoon because one ambiguous user query triggered a loop that ran 87 iterations.</p> <p><strong>Fix:</strong> Hard cap retry count at 3. After 3 failed retrievals, either generate from whatever you have or return a graceful "I don't have sufficient information" response. Never let the graph run without a termination condition. In the example provided, the `retry_count` is incremented each time the grader rejects documents and reformulates the query for another retrieval attempt.</p> <h3>2. The Overly Generous Grader</h3> <p>This occurs when the grading logic accepts marginally relevant documents as sufficient context. This leads to downstream hallucinations because the generator tries to answer from insufficient or irrelevant information.</p> <p><strong>Fix:</strong> Implement strict binary grading: "relevant" or "irrelevant". Ensure that only clearly pertinent documents are marked as

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