Indexing Method

Indexing methods aim to efficiently organize and retrieve data, a crucial task across diverse fields from information retrieval to medical imaging and genomics. Current research focuses on improving the speed and accuracy of indexing, particularly for high-dimensional data like embeddings, using techniques such as learned indexes (leveraging machine learning models), optimized tree structures, and efficient clustering algorithms. These advancements are significantly impacting various applications by enabling faster searches, reducing storage needs, and improving the overall efficiency of data management in large-scale systems.