How Cosmos delivered editorial-grade visual search with Qdrant - Qdrant

This post details how Cosmos implemented editorial-grade visual search using Qdrant Cloud. Key technical contributions include: using named vectors to store multiple embedding types (CLIP, CNN, pHash, color) in a single collection for multimodal retrieval, implementing exact color search using CIELAB vectors and a re-ranking mechanism based on color presence, and developing an application-side fusion model for hybrid search to balance relevance, engagement, and aesthetics. This resulted in sub-second search latency and significant improvements in element processing pipelines.