Reads intent, not keywords — resolving the web into one confident answer.
Vector search ranks by cosine similarity in embedding space — nearest vectors to the query win.
Approximate nearest-neighbour indexes (HNSW) trade a little recall for speed.
Re-rankers refine the top-k with a cross-encoder for precision.
SearchVex is opening early access. One question is all it takes to see the difference.
Request early access