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Enable users to quickly find relevant components, documentation, and other resources within the Documentation.
Provide a seamless and intuitive search experience.
Utilize Algolia's robust search capabilities.
Implementation Steps:
1. Set up Algolia Account and Application:
Create an Algolia account.
Create a new application within Algolia for the design system.
Obtain Application ID, Search-Only API Key, and Admin API Key. Securely store these keys (environment variables are recommended).
2. Install necessary dependencies:
Install the Algolia JavaScript API client: npm install algoliasearch-client-javascript
Install instantsearch.js for the UI components: npm install instantsearch.js
Potentially install other relevant UI libraries like React InstantSearch if you prefer pre-built components: npm install react-instantsearch-dom
3. Prepare and Index Data:
Identify searchable content: Determine which content within the design system should be indexed (e.g., component names, excerpt, documentation pages).
Data fetching: Implement logic to fetch this data from your existing data sources Markdown files.
Data transformation: Transform the fetched data into a format suitable for Algolia indexing (JSON records with clear attributes like objectID, name, description, url, etc. Consider hierarchy to prioritize top-level categories/components.)
Indexing script: Create a script (e.g., using the Algolia API client) to upload the transformed data to your Algolia index. This script might need to be run periodically to keep the index up-to-date.
4. Implement Search UI:
Create a search input component.
Use instantsearch.js or react-instantsearch-dom to build the search results display and other UI elements (facets, filters, pagination, etc.).
Configure the search client with your Application ID and Search-Only API Key.
Connect the search UI to your Algolia index.
Style the search UI to match the design system's aesthetics.
5. Testing and Refinement:
Thoroughly test the search functionality to ensure it returns accurate and relevant results.
Experiment with different Algolia settings (e.g., ranking rules, synonyms, typo tolerance) to optimize search performance
and relevance. Algolia's dashboard provides analytics to help with this.
Gather user feedback and iterate on the search experience.
6. Deployment:
Deploy the updated design system site with the integrated Algolia search.
The text was updated successfully, but these errors were encountered:
Goals:
Enable users to quickly find relevant components, documentation, and other resources within the Documentation.
Provide a seamless and intuitive search experience.
Utilize Algolia's robust search capabilities.
Implementation Steps:
1. Set up Algolia Account and Application:
2. Install necessary dependencies:
3. Prepare and Index Data:
4. Implement Search UI:
5. Testing and Refinement:
and relevance. Algolia's dashboard provides analytics to help with this.
6. Deployment:
The text was updated successfully, but these errors were encountered: