RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop

Advanced RAG systems can handle complex questions by using a code-based "dispatcher" to create an explicit workflow plan, offering a more reproducible alternative to letting an LLM agent decide the next steps. This dispatcher intelligently analyzes a user's query to determine which specific patterns to activate, such as table-of-contents lookups, list aggregations, or multi-step synthesis. The system then executes these patterns within bounded loops, using feedback from the language model to decide whether to retry a step for a more complete answer or to stop processing. This entire orchestration logic is managed by deterministic code, ensuring the pipeline is auditable and reliable for enterprise use.