@upstash/vector is a Typescript SDK for Upstash Vector, enabling easier operations on Vector Store with full type coverage. Using @upstash/vector you can:
  • Upsert a vector with metadata to an index.
  • Fetching the vectors with specified IDs.
  • Querying a vector over pre-defined embeddings.
  • Delete vectors from an index.
  • Access index stats.
  • Reset everything related to an index.
You can find the Github Repository here.

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Install

npm install @upstash/vector

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Usage

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Initializing the client

There are two pieces of configuration required to use the Upstash vector client: a REST token and REST URL. These values can be passed using environment variables or in code through a configuration object. Find your configuration values in the console dashboard at https://console.upstash.com/.

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Using environment variables

The environment variables used to configure the client are the following. You can follow this guide to retrieve credentials. 
UPSTASH_VECTOR_REST_URL="your_rest_url"
UPSTASH_VECTOR_REST_TOKEN="your_rest_token"
When these environment variables are set, the client constructor does not require any additional arguments. 
import { Index } from "@upstash/vector";

const index = new Index();

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Using a configuration object

If you prefer to pass configuration in code, the constructor accepts a config object containing the url and token values. This could be useful if your application needs to interact with multiple projects, each with a different configuration. 
import { Index } from "@upstash/vector";

const index = new Index({
  url: "<UPSTASH_VECTOR_REST_URL>",
  token: "<UPSTASH_VECTOR_REST_TOKEN>",
});

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TypeScript Usage

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Index level types

The Vector SDK supports defining your metadata type at the index level for complete type-safety. 
import { Index } from "@upstash/vector";

type Metadata = { genre: string, year: number };

const index = new Index<Metadata>();
Passing a metadata type at the index level will provide strong type safety for the metadata coming back from or required for the following commands:
  • query
  • upsert
  • fetch
  • range

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Command level types

In some cases, you might not want to define a metadata type at the index level. In this case, you can either override the index level type definition for a specific command, or pass a metadata type to specific commands instead. 
import { Index } from "@upstash/vector";

type Metadata = { genre: string, year: number };

const index = new Index();

index.upsert<Metadata>({ id: 1, vector: [...], metadata: { 
  genre: "comedy",
  year: 1990
}});
The passing of a strong metadata type is possible for each of the four index operations listed above, we use upsert as an example.