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# Mishards - An Experimental Sharding Middleware
[中文版](README_CN.md)
Milvus aims to achieve efficient similarity search and analytics for massive-scale vectors. A standalone Milvus instance can easily handle vector search among billion-scale vectors. However, for 10 billion, 100 billion or even larger datasets, a Milvus cluster is needed.
Ideally, this cluster can be accessed and used just as the standalone instance, meanwhile it satisfies the business requirements such as low latency and high concurrency.