Qdrant

A high-performance vector database for AI applications, enabling efficient similarity search.

Apmeklēt vietni
Vērtējums
Jauns
Izcelsmes valsts
🇩🇪Vācija
Kategorija
Izstrādātāju rīki

Par Qdrant

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 vector database for semantic search and recommendation systems.

Funkcijas

  • 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 quantisation
  • API for easy integration
  • Built in Rust for speed and reliability

Atsauksmes

Godīgas atsauksmes no dalībniekiem, kas lieto Qdrant.

Vēl nav atsauksmju

Esi lietojis Qdrant? Pastāsti citiem, kāds tas ir patiesībā.

Uzrakstīt atsauksmi

Pirmdienas apskats

Eiropas labākā jaunā programmatūra, katru pirmdienu.

Labākie jaunumi, jauni ieraksti un stāsti no Journal. Viens e-pasts, klusās nedēļās izlaists.