Unlock the power of an efficient search application powered by Angular! This guide will take you step-by-step through the process of setting up the Angular Search Experience project, equipped with essential features like a search box, sorting options, and much more.

Overview

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Setting Up the Project

Cloning the Source Files

To start, you’ll need to clone the project from GitHub. First, ensure you have Git installed on your machine. If it’s not installed yet, you can check out the installation guide here.

Once Git is installed, open a terminal window and execute the following command:

git clone https://github.com/manekinekko/angular-search-experience.git

Installing Dependencies

Now that you have cloned the repository, navigate into the project directory:

cd angular-search-experience

Run the following command to install all project dependencies:

npm install

Starting the Development Server

For security and good practice, you’ll need an Authorization header to request the search API. Add the following header:

Authorization: SearchToken this-is-a-fake-token

To set up environment variables for your API key, create a .env file in the functions folder using the provided env template file. The file should include:

• algolia_applicationid=YOUR_ALGOLIA_APPLICATION_ID
• algolia_apikey=YOUR_ALGOLIA_API_KEY

You can obtain your application ID and API key at Algolia API Keys section. You must create an account to access your key.

Starting the Local Server

Option 1 (Recommended): Express

To run the server locally, execute the following command:

npm run start:backend

Option 2 (Advanced): Cloud Function

If you want to operate using a serverless approach with Firebase, first ensure you are logged in to your Firebase account. You must also install firebase-tools.

Run:

npm run start:backend:firebase

This command serves the Cloud Function locally on http://localhost:5000/angular-search-experience/us-central1/search.

The Front-End Application

To start the front-end application, run the following command at the project root:

npm start

Visit http://localhost:4200 to view your application, which will automatically reload as you make changes.

Building and Deploying

To generate production-ready files, execute:

npm run build

The output will be saved under dist/angular-search-experience. For Firebase deployment, build the project and run:

npm run deploy

Ensure that you have the necessary permissions to deploy to the Firebase project.

Known Issues and Troubleshooting

• If you encounter an error like Found incompatible module, try this workaround:
• Run nvm use 8.0 within the functions folder.
• Run npm install, then navigate back and start the backend again with npm run start:backend.

If issues persist or you have questions, please reach out! For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Application Features

The application boasts several features including a search box, search results with highlights, various sort options, and the ability for lazy loading results. In addition, it includes an experimental voice-activated chatbot for enhanced user interaction!

Conclusion

By following this guide, you can set up your very own Angular Search Experience application. Dive into the world of modern web applications with powerful search functionalities to cater to your users’ needs!

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.