Qdrant is a high-performance vector database optimized for real-time data search and retrieval. It supports filtering and hybrid search, allowing you to combine vector search with traditional database queries. Qdrant is a strong choice for applications that require fast and accurate data retrieval in real-time, such as recommendation engines and AI-powered search systems.

Pricing

Qdrant offers a free tier for small projects, with paid plans starting at $29/month for more advanced features and higher usage.

Things To Consider

It has a significant learning curve.

Benefits

Efficient open-source vector search implementation for containers and Kubernetes.
Convenient SaaS clustered cloud implementation.
Benchmarks favorably against other open-source vector search products
Plenty of integrations and language drivers
Many options to tweak to optimize your application