embeddings
Installation
SKILL.md
Embeddings Skill
Purpose
Vector embeddings for semantic search and pattern matching with HNSW indexing.
Features
| Feature | Description |
|---|---|
| sql.js | Cross-platform SQLite persistent cache (WASM) |
| HNSW | 150x-12,500x faster search |
| Hyperbolic | Poincare ball model for hierarchical data |
| Normalization | L2, L1, min-max, z-score |
| Chunking | Configurable overlap and size |
| 75x faster | With agentic-flow ONNX integration |
Commands
Initialize Embeddings
Related skills
More from ruvnet/ruflo
agent-swarm
Agent skill for swarm - invoke with $agent-swarm
402agent-workflow
Agent skill for workflow - invoke with $agent-workflow
402workflow-automation
>
390agent-arch-system-design
Agent skill for arch-system-design - invoke with $agent-arch-system-design
385security-audit
>
375agent-architecture
Agent skill for architecture - invoke with $agent-architecture
354