weaviate-ts-embedded v1.2.0

Weaviate TypeScript EmbeddedDB

An embedded Weaviate database with TypeScript client interface, available for Linux and Mac

Documentation

• Documentation.

Examples

With default options

Defaults:

• Host: 127.0.0.1
• Port: 6666
• Weaviate version: latest

import weaviate, { EmbeddedClient, EmbeddedOptions } from 'weaviate-ts-embedded';

const client: EmbeddedClient = weaviate.client(new EmbeddedOptions());
await client.embedded.start();
// use the client to interact with embedded Weaviate
client.embedded.stop();

With custom options

import weaviate, { EmbeddedClient, EmbeddedOptions } from 'weaviate-ts-embedded';

const client: EmbeddedClient = weaviate.client(
  new EmbeddedOptions({
    port: 7878,
    version: '1.18.1',
    env: {
      QUERY_DEFAULTS_LIMIT: 50,
      DEFAULT_VECTORIZER_MODULE: 'text2vec-openai',
    },
  }),
  // weaviate-ts-client ConnectionParams
  {
    scheme: 'http',
    host: '127.0.0.1:7878',
  }
);
await client.embedded.start();
// use the client to interact with embedded Weaviate
client.embedded.stop();

With direct binary url

import weaviate, { EmbeddedClient, EmbeddedOptions } from 'weaviate-ts-embedded';

const binaryUrl = 'https://some-link-to-weaviate-binary';
const client: EmbeddedClient = weaviate.client(
  new EmbeddedOptions({
    binaryUrl: binaryUrl,
  })
);
await client.embedded.start();
// use the client to interact with embedded Weaviate
client.embedded.stop();

Support

• Stackoverflow for questions.
• Github for issues.

Contributing

• How to Contribute.

Build Status