/multi2vec-bind-js

Primary LanguageTypeScript

Docker – Setting up a Weaviate instance

In this step, we need to run Weaviate in a Docker container.

Note that the first time you run it, Docker will download ~4.8GB multi2vec-bind Weaviate module, which contains the ImageBind model.

Start Weaviate container with docker-compose.yml.

To start the Weaviate instance, run the following command, which will use the docker-compose.yml file.

docker compose up

To stop the container, press CTRL + c (or the relevant kill command in your terminal).

Node – Loading data into Weaviate

In this step, we will use the node application to populate Weaviate with data (image, audio and video).

The image, audio and video files are located in the web-app/src/assets/ folder.

You only need to run the import process once!

Node Setup

  1. Go to the node folder:
cd node-app
  1. Install packages
npm install

Run node app

To import the data, run the following command:

npm run start

Angular – Search in a web app

In this step, we will run an Angular app, which allows us to search through our data.

Angular Setup

  1. Go to the web project
cd web-app
  1. Install packages
npm install
  1. Install Angular CLI:
npm install -g @angular/cli

Run the web app

Run the app with the Angular CLI, which will automatically open the app in your browser.

ng serve -o