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Which technique is used to quickly search for similar vectors from a large collection of embedding vectors?
①Linear search
②Only parallelize exhaustive search on the GPU.
③Only dimensionality reduction using principal component analysis.
④Gradient boosting
⑤Approximate nearest neighbor search (Approximate Nearest Neighbor, ANN)
