Individual skill
vector-embed
Generate embeddings via npx ruvector@0.3.3 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index
plugins/ruflo-ruvector/skills/vector-embed/SKILL.md
Source commit 722232566ad1fc4e73ba4fefc46d77d380ce61ba
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Nov 7, 2026
- License
- MIT
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- swarm Repository topic
- agentic-ai Repository topic
- agentic-framework Repository topic
- agentic-workflow Repository topic
- autonomous-agents Repository topic
- codex Repository topic
- mcp-server Repository topic
- multi-agent Repository topic
- ai-assistant Repository topic
- multi-agent-systems Repository topic
- engineering Derived category
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Read excerpt
# Vector Embed
Generate and store vector embeddings using the `ruvector` npm package.
## When to use
Use this skill to embed text, code, or documents into 384-dimensional vectors for semantic search, similarity comparison, or clustering. ruvector uses ONNX all-MiniLM-L6-v2 with HNSW indexing (52,000+ inserts/sec, ~0.045ms search).
## Steps
1. **Ensure ruvector@0.3.3 is available**:
```bash
npm ls ruvector 2>/dev/null | grep '0.3.3' || npm install ruvector@0.3.3
```