GAS: A Lightweight Framework for Filtered Search over Wide-Table Vectors
Wide-table vectors, where each embedding is linked with numerous structured attributes, are prevalent in applications such as autonomous driving and multimodal data processing for large-model training. Efficiently retrieving semantically similar vectors under attribute filters is crucial for these tasks, a problem addr...