Building real-time multimodal similarity search in Flipkart Trust & Safety with Qdrant - Qdrant

Flipkart implemented a real-time multimodal similarity search system using Qdrant for their Trust & Safety team. This system addresses limitations of prior batch-based methods (HBase with LSH) that took up to 9 hours for similarity searches. Qdrant was chosen for its deployment flexibility, efficient HNSW indexing, and support for high-dimensional embeddings. The new system reduced detection time to under 1 minute, integrating with the Java gRPC SDK and Prometheus metrics.