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Updated Searching with IVF index (markdown)

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Bennu 2021-10-19 15:36:24 +08:00
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Searching-with-IVF-index.md

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The previous document `Getting started` introduced some basic usage of Milvus through Python and Node SDK. This document will introduce how to use the IVF series index to speed up the efficiency of vector retrieval.
# IVF_FLAT
IVF_FLAT divides vector data into `nlist` cluster units, and then compares distances between the target input vector and the center of each cluster. Depending on the number of clusters the system is set to query (`nprobe`), similarity search results are returned based on comparisons between the target input and the vectors in the most similar cluster(s) only — drastically reducing query time.