upstash-vector-js

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English

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Chinese

Vector Documentation Skill

Vector文档技能

Quick Start

快速开始

Vector is a high‑performance vector database for storing, querying, and managing vector embeddings.

Basic workflow:

Install the Vector TS SDK.
Connect to a Vector instance.
Upsert vectors, query them, and manage namespaces.

Example (TypeScript):

import { Index } from "@upstash/vector";
const index = new Index({
  url: process.env.UPSTASH_VECTOR_REST_URL!,
  token: process.env.UPSTASH_VECTOR_REST_TOKEN!,
});

await index.upsert([{ id: "1", vector: [0.1, 0.2], metadata: { tag: "example" } }]);

const results = await index.query({
  vector: [0.1, 0.2],
  topK: 5,
});

For full usage, refer to the linked skill files below.

Vector是一款高性能向量数据库，用于存储、查询和管理向量嵌入。

基本工作流程：

安装Vector TS SDK。
连接到Vector实例。
插入/更新（Upsert）向量、查询向量并管理命名空间。

示例（TypeScript）：

import { Index } from "@upstash/vector";
const index = new Index({
  url: process.env.UPSTASH_VECTOR_REST_URL!,
  token: process.env.UPSTASH_VECTOR_REST_TOKEN!,
});

await index.upsert([{ id: "1", vector: [0.1, 0.2], metadata: { tag: "example" } }]);

const results = await index.query({
  vector: [0.1, 0.2],
  topK: 5,
});

如需完整使用说明，请参考下方链接的技能文档。

Other Skill Files

其他技能文档

TS SDK Reference

TS SDK参考文档

```
sdk-methods
```
: Explains SDK commands: delete, fetch, info, query, range, reset, resumable-query, upsert

```
sdk-methods
```
：讲解SDK命令：delete、fetch、info、query、range、reset、resumable-query、upsert

Features

功能特性

```
features/namespaces
```
: Explains namespaces and dataset organization.
```
features/index-structure
```
: Covers hybrid and sparse index structures.
```
features/filtering-and-metadata
```
: Details metadata storage and server-side filtering.

Use these files for deeper guidance on SDK usage, advanced configurations, algorithms, and integrations.

```
features/namespaces
```
：讲解命名空间和数据集组织方式。
```
features/index-structure
```
：介绍混合索引与稀疏索引结构。
```
features/filtering-and-metadata
```
：详细说明元数据存储与服务端过滤功能。

如需深入了解SDK使用方法、高级配置、算法及集成方式，请参考这些文档。