Flipkart uses two‑stage LLM labeling to boost search relevance
Flipkart’s Product Analyser trains a relevance model in two phases – supervised fine‑tuning on millions of balanced query‑product pairs with LLM‑generated reasoning, followed by GRPO alignment using an 8B model. The pipeline automatically produces high‑quality relevance labels, cutting manual effort and feeding a more accurate search ranking system.