This repo should help get you started developing with Weaviate and Angular.

First, clone the project with the command below

git clone https://github.com/weaviate-tutorials/angular-search

The repository lets you do three things

1. Run the Angular frontend and Nest.js backend.
2. Create a Weaviate Sandbox
3. Import images, audio and videos into your Weaviate database.
4. Search 🔍

npm install -g @angular/cli@latest 

npm i -g @nestjs/cli 

Create a Weaviate instance on Weaviate Cloud Services as described in this guide

gcloud auth print-access-token

And update GOOGLE_API_KEY in backend/.env file.

Add .env file to the backed folder with the following values:

export WEAVIATE_HOST_URL=your-weaviate-cloud-url export WEAVIATE_ADMIN_KEY=your-weaviate-cloud-apikei export WEAVIATE_READ_KEY=your-weaviate-cloud-apikei export COHERE_API_KEY=your-cohere-key export GOOGLE_API_KEY=your-google-vertex-key 

note: you can skip GOOGLE_API_KEY if you are not going to use multimodal search.

• You can get your Google keys in your Vertex AI settings
• You can get your Weaviate details in your Weaviate dashboard under sandbox details
• You can get your Open AI keys in your Open AI settings
• You can get your Cohere keys in your Cohere settings

cd backend 

Run in dev mode with livereload.

yarn start:dev 

Before you can import data, add media files to their respective media type folder in the public/assets folder.

With your data in the right folder, run the backend and call http://localhost:3000/setup/createWiki to create a collection and then http://localhost:3000/setup/importData to import data.

This may take a minute or two.

cd frontend ng serve -o 

aaannd search away!!

Learn more about Weaviate applications

• Weaviate Generative Search
• Vector Search

• Check out the Weaviate Docs
• Open an Issue