Vector Embed Generate and store vector embeddings using the 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 [email protected] is available : If later reports , also run: 2. Embed the input (use the subcommand, with text as a positional arg): - Single string: - With output file: - For a file: read its content via the Read tool, then pass it as the positional argument. - For b…