
E-Commerce search
Hybrid search, personalization, recommendations, and merchandising across a catalog of 5.7M+ products.
Experience firsthand how Qdrant powers intelligent search, anomaly detection, and personalized recommendations, showcasing the full capabilities of vector search to revolutionize data exploration and insights.

Hybrid search, personalization, recommendations, and merchandising across a catalog of 5.7M+ products.

Score every charge against that customer's own history, with evidence behind every fraud alert.

Compare semantic, keyword, and hybrid search over startup profiles, with metadata filters on every query.

Categorize products automatically as semantic search groups similar descriptions, even when wording differs.

Find foods by taste and meaning, with recommendations that adapt to your likes and skips.

Search the Qdrant codebase by describing what the code does, using MiniLM and UniXcoder embeddings.

Hybrid search, personalization, recommendations, and merchandising across a catalog of 5.7M+ products.

Score every charge against that customer's own history, with evidence behind every fraud alert.

Compare semantic, keyword, and hybrid search over startup profiles, with metadata filters on every query.

Categorize products automatically as semantic search groups similar descriptions, even when wording differs.

Find foods by taste and meaning, with recommendations that adapt to your likes and skips.

Search the Qdrant codebase by describing what the code does, using MiniLM and UniXcoder embeddings.
Turn embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more.
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