How do you design multi-stage reasoning pipelines in LLMOps?

Multi-stage reasoning pipelines break tasks into sequential steps like planning, retrieval, reasoning, and verification.

Complex LLM tasks are decomposed into stages to improve reliability. A planner LLM generates steps, a retriever fetches context, a reasoning model generates output, and a verifier checks correctness. This reduces hallucinations and improves interpretability at the cost of latency.