Harmonizing Efficiency and Accuracy in Filtered Vector Search
Approximate nearest neighbor search (ANNS) is increasingly essential for AI-driven applications. In practice, ANNS is often coupled with label filtering to improve accuracy, relevance, and efficiency, a variant known as filtered ANNS or FANNS. Existing FANNS methods fall short in efficiency or accuracy. This is because...