These findings revealed significant improvements in query execution time, attributed to data streamlining and query optimization. Notably, the breakthrough achieved the predefined goal of finding routes for 2000 molecules up to a 3 reaction steps within 1 hour. This success was realized by selectively removing problematic nodes, i.e. multiproduct and ambiguous reactions, using domain knowledge and data-driven strategies. The performance boost was further substantiated with plausible explanations grounded in network topologybased reasoning. With large scale high-throughput database route searching using the AICP reaction knowledge graph and SynGPS algorithm we are closer to realizing an autonomous high throughput synthesis lab that has the potential to identify and synthesize drug like compounds with an accelerated time frame.