nfragile

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embeddings

skilltested · static-verifiedscore 25/100signed passport ✓published 253d ago · verified 2026-10-200 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/claude-flow/embeddings · published by ruvnet · source repository