Building AI applications that rely on semantic search, recommendations, or retrieval requires a vector database that's fast, flexible, and easy to integrate. Qdrant is an open-source vector database and search engine written in Rust, designed to deliver fast and scalable vector similarity search through a convenient API. It goes beyond basic similarity matching by blending vector search with custom logic via its Score Boosting Reranker. Qdrant integrates seamlessly with all leading embedding models and AI frameworks, turning neural network encoders into full-fledged applications for matching, searching, recommending, and more.
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