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The main point didn't get hit on by the responses. Re-ranking is just a mini-LLM (for latency/cost reasons) that does a double heck. Embedding model finds the closest M documents i…

It's dead simple. Here is the simplified version that returns the quantiles for '100 / 2 ~ 4'. import numpy as np def monte_carlo(formula, iterations=100000): res = [formula() for …