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Huynh-Chinh
Huynh-Chinh

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Everything you need to start working with Qdrant

1. Introduction
Qdrant (quadrant) is a vector similarity search engine. Nó cung cấp một dịch vụ production-ready với API thuận tiện để lưu trữ, tìm kiếm và quản lý points-vectors có additional payload.
Qdrant được điều chỉnh để hỗ trợ lọc mở rộng. It makes it useful for all sorts of neural network or semantic-based matching, faceted search, and other applications.

2. Installation

Cách dễ nhất để sử dụng Qdrant là run một pre-built image bằng docker. Download image from DockerHub:

docker pull qdrant/qdrant

And run the service inside the docker:
docker run -p 6333:6333 \ -v $(pwd)/qdrant_storage:/qdrant/storage \ qdrant/qdrant

Trong trường hợp này, Qdrant sẽ sử dụng cấu hình mặc định và lưu trữ tất cả dữ liệu trong thư mục ./qdrant_storage

Và bây giờ Qdrant có thể truy cập được tại localhost:6333

3. Collections

4. Payload

5. Points

6. Search

7. Filtering

8. Optimizer

9. Storage

10. Indexing

11. Distributed deployment

12. Snapshots

13. Quantization

14. Integraions

15. Telemetry

16. Configuration

Ref.

Conclusion
Thank you very much for taking time to read this. I would really appreciate any comment in the comment section.
Enjoy🎉

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