An LLM application must: (1) retrieve relevant documents, (2) summarize each document, and (3) generate a consolidated final answer. Which architecture pattern best decomposes this into manageable, independently testable components?

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B. A sequential multi-step LLM chain where each step handles one subtask and passes results to the next.. A sequential multi-step chain is the standard pattern for decomposing complex LLM tasks. Each step is responsible for a focused subtask: retrieving documents, summarizing each, then synthesizing a final answer. This modularity makes each step independently testable and replaceable. This is the core pattern used in LangChain, LangGraph, and Mosaic AI Agent Framework.

An LLM application must: (1) retrieve relevant documents, (2) summarize each document, and (3) generate a consolidated final answer. Which architecture pattern best decomposes this into manageable, independently testable components?

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