IntelLabs / IntelLabs/ScalableVectorSearchBenchmarking
Document supported and unsuppored SVS variants
Open
Beginner friendly
documentation
enhancement
good first issue
help wanted
- Dominant language
- Python
- Stars
- 5
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
Currently, the SVS variant on PyPI is supported and automatically installed when the installation steps are followed. The SVS variant at https://github.com/intel/ScalableVectorSearch is not supported and should be removed before installing svsbench. This should be documented.
Contributor guide
Research direction
Review the installation steps and the supported PyPI SVS variant, then compare them with the unsupported variant at https://github.com/intel/ScalableVectorSearch. Update the documentation to identify the supported and unsupported variants and state that the unsupported one should be removed before installing svsbench.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 68/100