Milvus Was Built for Massive-Scale (Think Trillion) Vector Similarity Search

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This post details Milvus's architecture for massive-scale vector similarity search, focusing on its use of LSM trees for efficient dynamic data management, optimized data handling with WAL and buffer flushing, segment merging to reduce fragmentation, and the acceleration of similarity search through ANN indexing. It also mentions the use of OLTP systems (SQLite/MySQL) for metadata management.