Using an inverted index, meilisearch processes search queries in milliseconds. It is built in Rust, a systems programming language that enables it to perform faster and more efficiently than other engines.
Meilisearch also provides real-time updates, ensuring search results are always accurate and up to date. This feature is important for applications like e-commerce platforms or collaboration tools. It also supports multi-select facets, allowing developers to search items that meet multiple criteria simultaneously.
Open-source project
The open-source nature of meilisearch allows developers to inspect its source code and modify it. This approach promotes transparency and encourages community participation, which helps ensure that the search engine is always up to date and aligned with developer needs.
Meilisearch is a fast, efficient search engine designed to handle large datasets and deliver search results quickly. It is built in Rust, a systems programming language that provides high performance and low-level control. This makes it possible to process thousands of search queries per second, even with a large index. It also has built-in features such as typo-tolerance and synonym support, allowing developers to customize the search experience for their users.
Meilisearch offers real-time updates, enabling applications to update the search index in real time. This is a critical feature for e-commerce platforms and collaborative tools that require frequent data synchronization. The real-time updates feature is facilitated by incremental indexing, ensuring that search results are always up to date.
Fast indexing
Meilisearch is designed to be fast and efficient, delivering search results quickly even with large datasets. It uses advanced indexing techniques, including inverted indexing, to optimize search queries and reduce latency. It also uses a system programming language that provides high performance and low-level control.
Meilsearch supports faceted search, which allows users to refine their search results based on different categories. This feature improves user experience and increases search relevancy by ensuring that relevant results appear first. Developers can customize search behavior by defining custom ranking rules and modifying document attributes.
Meilisearch can handle a large number of documents and searches with low latency, which makes it suitable for large-scale web applications. It also supports typo-tolerance and synonym support to allow for accurate searching of misspelled words. Meilisearch also offers a unified search interface that makes it easy for users to access and manage their results. This feature is particularly useful for collaborative tools and e-commerce sites.
Customizable filters
Meilisearch is able to offer a variety of customizable filters for its search results. These filters can be used to refine search results or to create faceted search interfaces. These filtering options can be set up using the index configuration or by passing them to Meilisearch via its API.
Speed & Efficiency: Meilisearch is able to process search queries within milliseconds because it is designed to be fast and efficient. This is made possible by its use of Rust, a systems programming language that provides high performance and low-level control.
Another benefit of Meilisearch is its ability to scale, with support for large data sets and multiple indexes. The search engine is also able to run locally, which can help reduce latency and server-side bandwidth costs. Its architecture is also flexible enough to adapt to the changing needs of businesses. This is especially important as companies move towards a distributed tech stack. They want to keep their search processes as close to the data as possible, without sacrificing performance.
Real-time updates
Meilisearch is able to provide real-time updates for your search application thanks to its advanced indexing techniques. It also utilizes efficient data structures and algorithms to handle large datasets, ensuring fast response times. This makes it the ideal choice for applications that require low latency and responsive search results.
The engine is optimized for running locally, which reduces both search query latencies and server-side bandwidth requirements. It is built on Rust, a systems programming language that provides high performance and low-level control. It can process thousands of searches per second, and index terabytes in milliseconds. It also features typo-tolerance, which is a valuable feature for e-commerce sites and other applications that allow users to make spelling mistakes.
The open-source nature of Meilisearch allows it to benefit from a vibrant community of contributors. This allows developers to easily report bugs and feedback, ensuring that the project is up-to-date and meets the needs of modern developers. It also allows for customization and flexibility.