The NorthPeak router of Exercise 1 must send a data question to the SQL node and a manual question to the RAG node. A normal edge cannot do that: it always goes to the same node. A conditional edge lets a function choose the next node from the state. That choice also lets one big task be cut into small nodes that each do one job, which is what a 3-billion-parameter model like llama3.2 needs. This lesson covers the conditional edge, task decomposition, and the raw answers of the classifier on six real questions.
A normal edge always goes to the same node. A conditional edge asks a function first. The function reads the state and returns a short string. A mapping turns that string into a node name.
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