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.
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.
Como usar Qdrant?
To use Qdrant, you can pull the Qdrant image from Docker and run it. Alternatively, you can follow the Quick Start Guide or the step-by-step Tutorial to build your own neural search.
Casos de uso do Qdrant
Recursos principais do Qdrant
Fast and scalable vector similarity search
Support for vector embeddings and neural network encoders
Easy-to-use API with OpenAPI v3 specification
Fast and accurate search with a custom modification of the HNSW algorithm
Filterable results based on payload values
Support for rich data types and query conditions
Distributed and cloud-native architecture
Efficient utilization of computational resources
FAQ do Qdrant
What is Qdrant?
How can I use Qdrant?
What are the core features of Qdrant?
