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Towards Data Science0 Hot0 bình luận31 phút đọc
RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop
A deep-dive into building a deterministic 'dispatcher' orchestration layer for enterprise RAG pipelines over PDF documents, arguing for keeping control logic in code rather than delegating it to an autonomous LLM agent. It details a composite pipeline function (pdf_qa_loop) that reads a parsed question and document profile, activates specific retrieval/parsing patterns (TOC retrieval, two-hop references, listing aggregation), and manages bounded feedback loops with explicit termination conditions (max iterations, stable candidates, confidence drop, drift detection). It contrasts this 'dispatched RAG' approach with fully autonomous agent architectures, arguing the latter sacrifices reproducibility, cost efficiency, and debuggability for enterprise use cases, while walking through a worked example on the Transformer paper.
Nguồn: https://towardsdatascience.com/rag-workflow-and-loop-engineering-the-dispatcher-that-decides-when-to-loop-and-when-to-stop. 8 Sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
