The model that writes the answer. Change it freely; it does not touch the index.

Below this cosine score a question is reported as not found. The right value depends on the embedding model.

Changing this regenerates every vector in the index, in place from the stored text (one embedding call per chunk). Recalibrate min-score afterwards.