Discover an innovative Python framework for automating offline search engine ranking evaluation using LLM. By enabling search engineers and data scientists to perform offline evaluations rapidly, our method minimizes human bias, accelerates evaluation, and optimizes ranking algorithms swiftly, leading to improved search performance and more relevant user results.