Vald is a highly scalable, distributed, fast approximate nearest neighbor dense vector search engine.
This repository shows example use cases with standard datasets.
Please follow the example list and try examples.
NOTE: It is recommended to do "Get Started" before trying examples.
- Kubernetes: v1.24~
- Helm: v3~
- Docker: v20~
Each tutorial has individual requirements, so please refer to each document for details.
| Name | Use case | Data Category | Dimension | Distance Type |
|---|---|---|---|---|
| chiVe(ja) | Similarity Search | Text | 300 | Cosine |