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

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Cosmos implemented a visual search system using Qdrant Cloud, leveraging named vectors to store multiple embedding types (CLIP, CNN, pHash, and color vectors) in a single collection. They developed an exact color search using CIELAB vectors and an application-side fusion model for hybrid search, balancing relevance, engagement, and aesthetics. This resulted in sub-second search latency and improved element processing pipelines.