How Cosmos delivered editorial-grade visual search with Qdrant

Cosmos, a visual search app aimed at creative professionals and everyday users, has enhanced its search capabilities by integrating Qdrant Cloud to deliver precise and engaging visual discovery experiences. The platform focuses on high-quality, human-made content, providing a meditative and ad-free space for idea curation, contrasting with typical algorithm-driven feeds. To support its community of creatives, Cosmos implemented Qdrant Cloud to manage text, color, and hybrid visual searches with sub-second latency, addressing scalability and performance challenges previously encountered with Postgres. Qdrant facilitates multimodal retrieval by storing various embeddings like CLIP, CNN, and color vectors in a single collection, allowing Cosmos to optimize relevance, engagement, and aesthetics in its search results. The app's exact color search system uses CIELAB vectors to ensure precise color matching, vital for the platform's aesthetic-driven approach. With these advancements, Cosmos has achieved faster processing and predictable operations, scaling effectively with user growth, while preparing for future expansions in AI capabilities and app relaunches.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.