# upstash/search TypeScript SDK

> Entry point for documentation skills covering Upstash Search quick starts, core concepts, and TypeScript SDK usage. Use when a user asks how to get started, how indexing works, or how to use the TS client.

- Skill: `diegosouzapw/upstash-search-typescript-sdk` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add diegosouzapw/upstash-search-typescript-sdk`
- Raw SKILL.md: https://api.skillmd.com/api/skills/diegosouzapw/upstash-search-typescript-sdk/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: diegosouzapw (https://skillmd.com/u/diegosouzapw)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/diegosouzapw/upstash-search-typescript-sdk

---


# Upstash Search Documentation

## Quick Start

Install the TS SDK:

```
npm install @upstash/search
```

Create a client and perform a simple upsert + search:

```
import { Search } from "@upstash/search";

const client = new Search({ url: process.env.UPSTASH_SEARCH_REST_URL, token: process.env.UPSTASH_SEARCH_REST_TOKEN });
const index = client.index("my-index");

await index.upsert({ id: "1", content: { text: "hello world" } });
const results = await index.search({ query: "hello" });
```

Basic steps:
- Create an index
- Insert or update documents
- Run searches or filtered queries

## Other Skill Files

### sdk-overview
Provides detailed documentation for all TypeScript SDK commands. Includes:
- delete: Deleting documents
- fetch: Retrieving a document
- info: Index info
- range: Range queries
- reset: Clearing an index
- search: Search queries
- upsert: Adding/updating documents
- getting-started: Setup steps for the SDK

### quick-start
Provides a fast, end-to-end workflow for creating a Search database, adding documents, and querying them. Covers essential concepts including:
- Creating a database and storing credentials
- Adding documents with content and metadata
- Understanding content vs metadata (searchability and filterability)
- Performing searches with optional reranking
- Filtering syntax with SQL-like or structured filters
- Common pitfalls and best practices