Qdrant
A high-performance vector database for AI applications, enabling efficient similarity search.
EuroMakers lists Qdrant as a European developer tools alternative made in Germany.
Features
What Qdrant offers
- High-performance vector similarity search
- Support for embeddings and neural encoders
- Scalable with Kubernetes-native architecture
- Integration with Jina AI embeddings
- Payload filtering and metadata search
- Flexible deployment (cloud, hybrid, on-premises)
- Efficient data handling with quantization
- API for easy integration
- Built in Rust for speed and reliability
About
Qdrant is a vector database developed in Berlin, Germany, launched in 2021. It is designed for AI applications, providing high-performance similarity search for embeddings and neural network encoders. Qdrant supports scalable deployments with Kubernetes and integrates with tools like Jina AI for enhanced search capabilities. Qdrant is a leading solution for semantic search and recommendation systems. Its European origin aligns with values of transparency and digital sovereignty.
Made in Europe — supporting European innovation and digital sovereignty