Open-source projects · Established
qdrant/qdrant
Vector database and similarity search engine
- ★ 35,242
- 7 days +118
- 30 days +482
- Forks 2,776
- Language：Rust
- License：Apache-2.0
Description on GitHub： Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Highlights
- Stores vectors with JSON payloads and supports similarity search and filtering on payload fields.
- Supports dense, sparse, and multivector search, with REST and gRPC interfaces and official clients for several languages.
- The README describes a Docker-based client-server setup. Its sample has no authentication and listens on all network interfaces.
- Qdrant Edge runs inside an application, stores and queries data locally, and can synchronize with a Qdrant server. The project uses the Apache-2.0 license and Rust as its main language.
Our take
For offline-capable applications, Edge's in-process model avoids a separate server request, but the README excerpt does not specify synchronization conflict handling or resource limits; validate both against the workload. For shared server deployments, plan authentication and network controls before exposure, since the documented quick-start leaves authentication disabled.
Star history
Data updated: Oct 25, 2026
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