embedding-strategies
✓Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Installation
SKILL.md
Guide to selecting and optimizing embedding models for vector search applications.
| Model | Dimensions | Max Tokens | Best For |
| voyage-3-large | 1024 | 32000 | Claude apps (Anthropic recommended) | | voyage-3 | 1024 | 32000 | Claude apps, cost-effective | | voyage-code-3 | 1024 | 32000 | Code search | | voyage-finance-2 | 1024 | 32000 | Financial documents | | voyage-law-2 | 1024 | 32000 | Legal documents | | text-embedding-3-large | 3072 | 8191 | OpenAI apps, high accuracy |
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains. Source: wshobson/agents.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/wshobson/agents --skill embedding-strategies- Source
- wshobson/agents
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is embedding-strategies?
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains. Source: wshobson/agents.
How do I install embedding-strategies?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/wshobson/agents --skill embedding-strategies 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/wshobson/agents
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01