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@carbide/l6-vector-store

v1.0.0

Published

VectorStore 组件,向量存储与检索 - Day 2 核心组件 L6

Downloads

140

Readme

L6 VectorStore 组件

向量存储与检索组件,支持文档嵌入和相似度搜索。

功能

  • 文档向量化存储
  • 相似度搜索
  • 最大边际相关性搜索 (MMR)
  • Retriever 接口

使用

import { VectorStoreService } from '@carbide/l6-vector-store';

const store = new VectorStoreService({ apiKey: 'your-api-key' });
await store.initialize();

// 添加文档
await store.addDocuments([
  "LangChain 是一个用于开发 LLM 应用的框架",
  "向量数据库用于存储和检索向量数据"
], [{ source: "doc1" }, { source: "doc2" }]);

// 搜索
const results = await store.similaritySearch("什么是 LangChain?", 2);
console.log(results);