Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

Loop engineering enhances RAG pipelines by intelligently handling failures like retrieval misses, schema errors, or API timeouts. A well-designed loop is governed by three critical controls: a trigger that initiates a retry, a termination condition that prevents infinite cycles, and a recovery plan for the next action. These recovery strategies can range from simple retries with a delay to escalating the problem to a more powerful model. The fundamental rule is that each iteration must alter the approach to avoid wastefully repeating the same mistake, ensuring the system learns from failure rather than getting stuck.