windows搭建向量数据库milvus

介绍

在大语言模型使用的过程中，发现有时候会一本正经的胡说八道。那么有没有什么办法，让它可以优化。这时候可以应用到向量数据库。
首先先解释向量嵌入，我们可以把文本、图像、视频编码成数值向量，简单来说这个高维向量为一个数字组成的数组，例如OpenAI的embeddings接口，可以把文本转为1536长度的向量。

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这时我们可以应用向量数据库，把向量存储到向量数据库中，当我们搜索文本时，可以把文本转为向量数据，再去向量数据库中搜索，查找到相似度高的向量。

下面我们就来介绍下如何本地搭建向量数据库。

这里我们使用docker的方式，搭建本地向量数据库。

首先安装docker，windows下载安装docker。

下载链接：https://docs.docker.com/desktop/install/windows-install/
安装完成后，开始菜单可以看到docker。

安装milvus

下载 YAML文件

wget https://github.com/milvus-io/milvus/releases/download/v2.3.0/milvus-standalone-docker-compose.yml -O docker-compose.yml

启动Milvus

docker compose up -d

检查容器是否启动与运行

docker compose ps

安装Attu链接数据库

下载链接：https://github.com/zilliztech/attu/releases/tag/v2.2.8

安装完成后，启动Attu链接数据库。

无需输入密码，直接点解链接
如下图，我自己程序上建立了几个集合。

这样我们的本地数据库Milvus就搭建好了。下面我们来看看如何程序来链接数据库，并结合ChatGPT来使用向量数据库。关注公众号：科技探幽，回复milvus，查看更多文章。