* chore(deps): update getmeili/meilisearch docker tag to v1.15.2 * Update app version [skip ci] --------- Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: github-action update-app-version <githubaction@githubaction.com> |
||
|---|---|---|
| .. | ||
| 1.15.2 | ||
| README.md | ||
| README_en.md | ||
| data.yml | ||
| logo.png | ||
README_en.md
Meilisearch
Meilisearch is an open-source full-text search engine known for its high customizability, speed, and ease of use.
Key Features:
- Fast Full-Text Search: Meilisearch offers excellent search performance, capable of quickly retrieving large amounts of text data. It uses highly optimized algorithms, enabling users to get search results in milliseconds.
- Open Source and Free: Meilisearch is an open-source project and is free to use, making it easy for developers and organizations to integrate and deploy.
- Simple API: Meilisearch provides a simple yet powerful API, allowing developers to easily integrate it. You can use the RESTful API or client SDKs for search and indexing operations.
- Highly Customizable: Meilisearch allows users to customize it according to their specific needs. You can define custom search fields, sorting rules, and filters to meet the unique requirements of your project.
- Multi-language Support: Meilisearch supports multiple languages and character sets, allowing it to handle text data in various languages.
- Real-time Index Updates: Meilisearch features real-time index updates, instantly updating the index as data changes to ensure timely search results.
- Full-text Search Highlighting: It supports highlighting keywords in search results, helping users easily find the information they need.
- Advanced Ranking Algorithm: Meilisearch uses advanced ranking algorithms to sort search results by relevance, providing more accurate results.
- Distributed Deployment: Meilisearch can be deployed on multiple servers for load balancing and high availability, ensuring system stability and reliability.
- Developer-Friendly: Meilisearch provides extensive documentation and sample code to help developers get started quickly and solve problems.