Qdrant

Powering the next generation of AI applications with advanced, open-source vector similarity search technology

Qdrant gives development teams an open-source vector database and search engine, written in Rust, for building fast AI retrieval into their own applications, which places it squarely in developer productivity tooling. It runs scalable vector similarity search behind a straightforward API, and the underlying engine powers use cases such as retrieval-augmented generation, recommendation systems, advanced search, data analysis and anomaly detection, and AI agents.

Beyond the core open-source engine, Qdrant is also offered as Qdrant Cloud, a hybrid cloud option, and dedicated enterprise solutions, so a team can run the same search engine locally, in a managed cloud, or deployed at enterprise scale depending on its needs. It's used across industries including e-commerce, legal tech, hospitality and travel, HR tech, and healthcare tech, wherever an application needs to search large amounts of unstructured data quickly.

Specific plan pricing isn't detailed beyond a general sign-up flow, so check Qdrant's own pricing page for current terms. Start with the open-source engine, or use the site's Start Free option to try Qdrant Cloud on your own data.

Category: Productivity. Pricing: paid. Visit website

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