Developers often optimize LLM workflows by trimming tokens, but Siddhant K's Distill addresses a deeper flaw: inconsistent results from variable vector database retrievals. By clustering and reranking chunks pre-inference, it ensures deterministic, diverse inputs with near-zero latency overhead. This open-source Go tool redefines reliability in retrieval-augmented generation systems.