Vector Search Demo

Semantic search with 2D embedding visualization

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Click to load the embedding model in your browser. No API key required.

How it works

  • • Model runs entirely in your browser via WebAssembly — no server
  • • Uses all-MiniLM-L6-v2 (32MB) for 384-dimensional semantic embeddings
  • • 2D visualization projects embeddings using PCA-style dimensionality reduction
  • • Cosine similarity ranks documents by semantic relevance
  • • Click visualization dots to search by those documents
  • • No API keys or server-side processing required