Verified record · from the answer index
embeddings
skilltested · static-verifiedscore 50/100signed passport ✓1,167 uses
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching
Declared tools (1)
embeddings
skill:ruvnet/ruflo/embeddings · published by ruvnet · source repository