February 2020 Summaries

In Best Practices for Milvus Configuration, some best practices for setting key parameters in Milvus clients are introduced to improve search performance. The index_file_size parameter affects data storage and search efficiency. Generally, increasing the value of index_file_size improves search performance but may cause large files to fail loading into GPU or CPU memory. For nlist and nprobe parameters, a trade-off between precision and efficiency is necessary when determining their values. The optimal values for these parameters depend on the dataset size and distribution.

Dolphin AI is an open-source similarity search engine designed to handle massive-scale feature vectors. It can be used in conjunction with RDKit, a chemoinformatics software suite, for high-performance chemical structure similarity searches. The system generates Morgan fingerprints using RDKit and then imports them into Milvus to build a chemical structure database. With different chemical fingerprints, Milvus can perform substructure search, similarity search, and exact search. This approach is faster and more efficient than traditional methods for discovering potentially available compounds in drug discovery research.