embedding-comparison
✓Compare and evaluate embedding models for semantic search
Installation
SKILL.md
Evaluate and compare different embedding models on your actual data.
The default all-MiniLM-L6-v2 model is a good starting point, but may not be optimal for your specific content. This skill helps you:
| Domain vocabulary | Technical jargon may need specialized models | | Document length | Some models handle long text better | | Query style | Conversational vs keyword queries | | Speed requirements | Larger models = better quality but slower | | Memory constraints | Some models need significant RAM |
Compare and evaluate embedding models for semantic search Source: mindmorass/reflex.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/mindmorass/reflex --skill embedding-comparison- Source
- mindmorass/reflex
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is embedding-comparison?
Compare and evaluate embedding models for semantic search Source: mindmorass/reflex.
How do I install embedding-comparison?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mindmorass/reflex --skill embedding-comparison Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/mindmorass/reflex
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01