Pinterest has improved its search relevance by implementing a large language model (LLM)-based pipeline that enhances how search queries align with Pins. The system utilizes knowledge distillation to scale a student relevance model from a teacher model, integrating enriched text features and conducting extensive offline and online experiments to validate its effectiveness. Results indicate significant improvements in search feed relevance and fulfillment rates across diverse languages and regions.