From 6ec5eecbfa97e6d4db6332e3f77ea0b53cdccd45 Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 14:22:01 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 84b9eba..9cbd418 100644 --- a/README.md +++ b/README.md @@ -84,3 +84,11 @@ Create the operator via the following factory method ​ ***res_pred_list:*** *List* ​ List of filtered predicted segment second infos + + +# More Resources + +- [4 Steps to Building a Video Search System - Zilliz blog](https://zilliz.com/blog/building-video-search-system-with-milvus): Searching for videos by image with Milvus +- [Vector Similarity Search Hides in Plain View - Zilliz blog](https://zilliz.com/blog/Vector-Similarity-Search-Hides-in-Plain-View): Artificial intelligence influences what we read, the things we buy, who we become friends with, and more everyday human behavior. A huge part of what makes many modern AI applications possible is vector similarity search. Understanding how this underlying technology works can help demystify AI, providing insight into what computer intelligence is really made of. +- [Comparing SPLADE Sparse Vectors with BM25 - Zilliz blog](https://zilliz.com/learn/comparing-splade-sparse-vectors-with-bm25): In general, there are two types of vectors: dense vectors and sparse vectors. While they can be utilized for similar tasks, each has advantages and disadvantages. In this post, we will delve into two popular variants of sparse embedding: BM25 and SPLADE. +- [How to Best Fit Filtering into Vector Similarity Search? - Zilliz blog](https://zilliz.com/learn/attribute-filtering): Learn about three types of attribute filtering in vector similarity search and explore our optimized solution to improve the efficiency of similarity search. \ No newline at end of file