Qdrant
Open-source vector database and search engine for similarity search in AI applications.
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Qdrant is an open-source vector database and vector search engine written in Rust. It provides fast and scalable vector similarity search service with convenient API. It blends vector similarity with custom logic using Score Boosting Reranker. Qdrant integrates with all leading embeddings and frameworks, turning embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more.
Deploy Qdrant locally with Docker using the Quick Start Guide or the GitHub repository. Turn embeddings or neural network encoders into applications for matching, searching, and recommending.
Choose this if you're lookin for a powerful vector search engine that scales effortlessly and handles complex data with ease. It's perfect for those who want fast, accurate AI-driven search capabilities without the hassle.
Starts with 1GB free cluster, no credit card required.
Starting price per hour.
Price on request.
