@algolia/client-search
Advanced tools
The @algolia/client-search npm package is designed to facilitate seamless integration with Algolia's search API, enabling developers to easily implement search functionality within their applications. It provides a comprehensive set of features for indexing and querying searchable data, managing indices, and configuring search parameters for optimized search experiences.
Search in an index
This feature allows you to perform a search query on a specific index. The search results are returned as 'hits'.
{"searchIndex.search('query').then(({ hits }) => console.log(hits));"}Save objects to an index
This feature enables you to save objects to an index, which can then be searched. Objects must have an 'objectID' or it can be auto-generated.
{"index.saveObjects([{ objectID: '1', name: 'John Doe' }], { autoGenerateObjectIDIfNotExist: true }).then(({ objectIDs }) => console.log(objectIDs));"}Configure index settings
This feature allows you to configure various settings for an index, such as defining which attributes are searchable.
{"index.setSettings({ searchableAttributes: ['name', 'email'] }).then(() => console.log('Settings updated'));"}Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. While @algolia/client-search is specifically designed for integration with Algolia's managed search services, Elasticsearch offers a more flexible, self-hosted solution that requires manual setup and management.
solr-node is a client library for interacting with Apache Solr, a powerful open-source search platform. Similar to Elasticsearch, Solr provides extensive search capabilities but requires self-hosting and management. Compared to @algolia/client-search, solr-node targets users who prefer or require more control over their search infrastructure.
FAQs
JavaScript client for client-search
The npm package @algolia/client-search receives a total of 381,661 weekly downloads. As such, @algolia/client-search popularity was classified as popular.
We found that @algolia/client-search demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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