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Qdrant is an open-source vector database optimized for high-performance vector retrieval and similarity search.This product provides an out-of-the-box qdrant based on the Huawei Cloud EulerOS 2.0 64-bit system of Kunpeng servers.
- Dynamic data management: Supports real-time data updates and deletions, enabling hot updates to data without the need to rebuild indexes
- **High-performance vector search:**Adopting an efficient HNSW (Hierarchical Navigable Small World) index structure, it supports rapid retrieval of large-scale vector data and boasts millisecond-level response capabilities
The open-source image product Qdrant vector database provided by this project has pre-installed the 1.14.0 version of qdrant and its related runtime environment, and provides deployment templates. Come and refer to the usage guide to easily start an efficient "out-of-the-box" experience!
System requirements are as follows:
- CPU: 2 vCPUs or higher
- RAM: 4GB or larger
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
| Image Specification | Feature Description | Remarks |
|---|---|---|
| Qdrant-1.14.0-kunpeng | Installed and deployed based on Kunpeng servers + Huawei Cloud EulerOS 2.0 64-bit |
- For more questions, you can contact us through issues or the service support of the specified product in the Huawei Cloud Marketplace.
- For other open-source images, please refer to open-source-image-repos.
- Fork this repository and submit a merge request.
- Synchronously update README.md based on your open-source image information.