State-of-the-art approximate k-NN search algorithms vary based on use case and resources. Brute-force search guarantees 100% recall but is impractical for large datasets. Algorithms like ScaNN, HNSW, and DiskANN offer a balance of performance and efficiency, with HNSW being popular in industry for its speed and accuracy. GPU-specific indexes like CAGRA are optimal for GPU environments.