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Meilisearch, an open source search engine that is more efficient than Elasticsearch - Dream Path

2024-07-12

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Function Description

  1. Fast and efficient:

    • Meilisearch is designed to provide fast search speeds. It can return query results within milliseconds, even when processing large data sets.

    • For example, in the official benchmark test, when Meilisearch was used to process 100,000 documents, the average search time was 1.47 milliseconds, while when Elasticsearch was used to search the same data set, the average search time was 44.1 milliseconds.

  2. Feature-rich:

    • Supports Chinese search, no additional configuration required.

    • Provides out-of-the-box functional attributes such as typo tolerance, filters, and synonyms.

    • It supports spelling correction, synonym replacement, synonym search and other functions, which can greatly improve the quality of search results.

  3. Easy to use and deploy:

    • Meilisearch's installation and setup process is very simple, and it provides an easy-to-use web interface and CLI tools that allow users to easily manage and monitor the search engine.

    • Meilisearch provides a flexible API that can be easily integrated into any application.

  4. Highly Customizable:

    • Meilisearch's search and indexing are highly customizable, including features such as custom ranking, field weights, and search scope.

    • Supports multiple settings and search parameters to adapt to different business scenarios.

  5. Active community support:

    Meilisearch has an active GitHub repository, detailed documentation, community forums, and continuous updates to the SDK to ensure that questions are answered promptly and solutions are continuously optimized.
  6. Support multiple languages ​​and SDKs:

    Meilisearch provides SDKs in multiple languages, including JavaScript, Python, etc., to facilitate developers to use in different environments.
  7. new version update:

    Meilisearch continues to release new versions, introducing new features and optimizing performance. For example, Meilisearch 1.8 brings many new improvements and features.

Official GitHub

https://github.com/meilisearch/meilisearch

Official Documentation

https://www.meilisearch.com/docs/learn/getting_started/installation

Official website

https://www.meilisearch.com/