USearch

兼容性

仅在 Node.js 上可用。

USearch 是一个用于高效相似性搜索和密集向量聚类的库。

设置

安装 usearch 包，它是 USearch 的 Node.js 绑定。

npm

npm install -S usearch

Yarn

yarn add usearch

pnpm

pnpm add usearch

提示

有关安装集成包的常规说明，请参阅此部分。

npm

npm install @langchain/openai @langchain/community @langchain/core

Yarn

yarn add @langchain/openai @langchain/community @langchain/core

pnpm

pnpm add @langchain/openai @langchain/community @langchain/core

用法

从文本创建新索引

import { USearch } from "@langchain/community/vectorstores/usearch";
import { OpenAIEmbeddings } from "@langchain/openai";

const vectorStore = await USearch.fromTexts(
  ["Hello world", "Bye bye", "hello nice world"],
  [{ id: 2 }, { id: 1 }, { id: 3 }],
  new OpenAIEmbeddings()
);

const resultOne = await vectorStore.similaritySearch("hello world", 1);
console.log(resultOne);

API 参考

• USearch 来自 @langchain/community/vectorstores/usearch
• OpenAIEmbeddings 来自 @langchain/openai

从加载器创建新索引

import { USearch } from "@langchain/community/vectorstores/usearch";
import { OpenAIEmbeddings } from "@langchain/openai";
import { TextLoader } from "langchain/document_loaders/fs/text";

// Create docs with a loader
const loader = new TextLoader("src/document_loaders/example_data/example.txt");
const docs = await loader.load();

// Load the docs into the vector store
const vectorStore = await USearch.fromDocuments(docs, new OpenAIEmbeddings());

// Search for the most similar document
const resultOne = await vectorStore.similaritySearch("hello world", 1);
console.log(resultOne);

API 参考

• USearch 来自 @langchain/community/vectorstores/usearch
• OpenAIEmbeddings 来自 @langchain/openai
• TextLoader 来自 langchain/document_loaders/fs/text

相关内容

• 向量存储概念指南
• 向量存储操作指南