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Milvus

Milvus 是一个为嵌入相似性搜索和 AI 应用程序构建的向量数据库。

兼容性

仅适用于 Node.js。

安装​

  1. 在您的计算机上使用 Docker 运行 Milvus 实例 文档

  2. 安装 Milvus Node.js SDK。

    npm install -S @zilliz/milvus2-sdk-node

  3. 在运行代码之前为 Milvus 设置环境变量

    3.1 OpenAI

    export OPENAI_API_KEY=YOUR_OPENAI_API_KEY_HERE
    export MILVUS_URL=YOUR_MILVUS_URL_HERE # for example http://localhost:19530

    3.2 Azure OpenAI

    export AZURE_OPENAI_API_KEY=YOUR_AZURE_OPENAI_API_KEY_HERE
    export AZURE_OPENAI_API_INSTANCE_NAME=YOUR_AZURE_OPENAI_INSTANCE_NAME_HERE
    export AZURE_OPENAI_API_DEPLOYMENT_NAME=YOUR_AZURE_OPENAI_DEPLOYMENT_NAME_HERE
    export AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME=YOUR_AZURE_OPENAI_COMPLETIONS_DEPLOYMENT_NAME_HERE
    export AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=YOUR_AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME_HERE
    export AZURE_OPENAI_API_VERSION=YOUR_AZURE_OPENAI_API_VERSION_HERE
    export AZURE_OPENAI_BASE_PATH=YOUR_AZURE_OPENAI_BASE_PATH_HERE
    export MILVUS_URL=YOUR_MILVUS_URL_HERE # for example http://localhost:19530

索引和查询文档​

提示

查看此部分以获取有关安装集成包的一般说明。

npm install @langchain/openai
import { Milvus } from "langchain/vectorstores/milvus";
import { OpenAIEmbeddings } from "@langchain/openai";

// text sample from Godel, Escher, Bach
const vectorStore = await Milvus.fromTexts(
  [
    "Tortoise: Labyrinth? Labyrinth? Could it Are we in the notorious Little\
            Harmonic Labyrinth of the dreaded Majotaur?",
    "Achilles: Yiikes! What is that?",
    "Tortoise: They say-although I person never believed it myself-that an I\
            Majotaur has created a tiny labyrinth sits in a pit in the middle of\
            it, waiting innocent victims to get lost in its fears complexity.\
            Then, when they wander and dazed into the center, he laughs and\
            laughs at them-so hard, that he laughs them to death!",
    "Achilles: Oh, no!",
    "Tortoise: But it's only a myth. Courage, Achilles.",
  ],
  [{ id: 2 }, { id: 1 }, { id: 3 }, { id: 4 }, { id: 5 }],
  new OpenAIEmbeddings(),
  {
    collectionName: "goldel_escher_bach",
  }
);

// or alternatively from docs
const vectorStore = await Milvus.fromDocuments(docs, new OpenAIEmbeddings(), {
  collectionName: "goldel_escher_bach",
});

const response = await vectorStore.similaritySearch("scared", 2);

从现有集合中查询文档​

import { Milvus } from "langchain/vectorstores/milvus";
import { OpenAIEmbeddings } from "@langchain/openai";

const vectorStore = await Milvus.fromExistingCollection(
  new OpenAIEmbeddings(),
  {
    collectionName: "goldel_escher_bach",
  }
);

const response = await vectorStore.similaritySearch("scared", 2);

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