Qdrant Open-Sources E-commerce Demo: Millisecond Search Across 5.8M Products
qdrant_engine · x · 2026-08-03
Qdrant has shared an open-source e-commerce search and recommendation system demo built on its vector database, delivering complex retrieval features across 5.8 million real products.
Core Features: Supports hybrid retrieval, faceted filters, personalized recommendations, visual similarity, and merchandising.
Performance Metrics:
- Search with filters and personalization in 40 ms
- Similar product queries in 10 ms
- Product lookups in <1 ms
- Achieves 96% Precision@10
- RAM footprint of only 1.9 GB
The entire stack operates via a single Query API call, with both the demo and source code publicly available.
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