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click anywhere to query
Click in the plot to query. Top-K nearest vectors highlighted.
What you're seeing
Vector databases store high-dim embeddings + index them for fast nearest-neighbor search. pgvector uses HNSW (Hierarchical Navigable Small World) by default in 2026.
Real embeddings are 768-1536 dim; we use 2D for visualization. ANN doesn't always return exact top-K — it's a recall/speed tradeoff.
★ KEY TAKEAWAY
Vector search returns top-K nearest by cosine/L2 distance. pgvector uses HNSW for log-N query time.
▶ WHAT TO TRY
- Click anywhere to query.
- Top-K neighbors highlight in green.
- Real embeddings are 768-1536 dim; we use 2D for visualization.