Self Consistency in LangChain refers to the model's ability to maintain a consistent internal state or behavior, even in the face of varying inputs.

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Analogy: Think of it as a relay race - each runner (or model) takes the baton (the output), runs their part (processes the input), and passes the baton to the next runner (the next model in the chain).
Bigger Picture: Prompt Chaining plays a key role in enabling LangChain to handle multi-stage tasks and produce detailed, context-rich responses

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