From 45303464868f9e8dd2f1af989b3767887839376f Mon Sep 17 00:00:00 2001 From: Bennu Date: Tue, 19 Oct 2021 15:36:24 +0800 Subject: [PATCH] Updated Searching with IVF index (markdown) --- Searching-with-IVF-index.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Searching-with-IVF-index.md b/Searching-with-IVF-index.md index 47c1cd7..9715bbc 100644 --- a/Searching-with-IVF-index.md +++ b/Searching-with-IVF-index.md @@ -1,3 +1,5 @@ +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.