Getting Started

@upstash/search is a TypeScript SDK for Upstash AI Search.

Using @upstash/search you can:

• Perform AI-powered search queries
• Upsert documents to an index
• Fetch documents by their IDs
• Delete documents from a database
• Access database stats
• Reset databases

You can find the GitHub Repository here.

Installation

npm install @upstash/search

yarn add @upstash/search

pnpm add @upstash/search

bun install @upstash/search

Usage

Initializing the client

There are two pieces of configuration required to use the Upstash search client:

• a REST token
• a REST URL

These values can be passed using environment variables or through a configuration object. Find these connection details in the console dashboard.

Using environment variables (recommended)

You can follow this guide to retrieve the following credentials.

UPSTASH_SEARCH_REST_URL="your_rest_url"UPSTASH_SEARCH_REST_TOKEN="your_rest_token"

When these environment variables are set, the client constructor does not require any additional arguments.

import { Search } from "@upstash/search";const client = Search.fromEnv();const index = client.index("movies")

Using a configuration object

The Search class accepts a config object containing the url and token values. This could be useful if your application needs to interact with multiple databases, each with a different configuration.

import { Search } from "@upstash/search";const client = new Search({  url: "<SEARCH_INDEX_REST_URL>",  token: "<SEARCH_INDEX_REST_TOKEN>",});const index = client.index("movies")

Typescript

The Search SDK supports defining your content and metadata types at the index level for complete type-safety.

import { Search } from "@upstash/search";const client = new Search();type Content = { title: string, genre: string };type Metadata = { year: number };const index = client.index<Content, Metadata>("movies");await index.upsert({  id: "document-id",  content: { title: "Star Wars", genre: "sci-fi" },  metadata: { year: 1977 }})

Passing a Content type at the index level will provide type safety for the content coming back from or required for the following commands:

• search
• upsert
• fetch
• range

In cases you don't want to define a content type at the index level, you can override the index level type definition for a specific command:

const results = await index.upsert<Content>({  id: "id",  content: { title: "Movie title", ... }});

Telemetry

This sdk sends anonymous telemetry data to help us improve your experience. We collect the following:

• SDK version
• Platform (Cloudflare, AWS or Vercel)
• Runtime version (node@18.x)

You can opt out by setting the UPSTASH_DISABLE_TELEMETRY environment variable to any truthy value.

UPSTASH_DISABLE_TELEMETRY=1

Alternatively, you can disable telemetry programmatically:

const index = client.index("movies", {  enableTelemetry: false,});