**MeiliSearch** is a powerful, fast, open-source, easy to use and deploy search engine. Both searching and indexing are highly customizable. Features such as typo-tolerance, filters, and synonyms are provided out-of-the-box.
Let's create an index! If you need a sample dataset, use [this movie database](https://www.notion.so/meilisearch/A-movies-dataset-to-test-Meili-1cbf7c9cfa4247249c40edfa22d7ca87#b5ae399b81834705ba5420ac70358a65). You can also find it in the `datasets/` directory.
"overview": "Along with crime-fighting partner Robin and new recruit Batgirl, Batman battles the dual threat of frosty genius Mr. Freeze and homicidal horticulturalist Poison Ivy. Freeze plans to put Gotham City on ice, while Ivy tries to drive a wedge between the dynamic duo.",
"overview": "Adam West and Burt Ward returns to their iconic roles of Batman and Robin. Featuring the voices of Adam West, Burt Ward, and Julie Newmar, the film sees the superheroes going up against classic villains like The Joker, The Riddler, The Penguin and Catwoman, both in Gotham City… and in space.",
You can access the web interface in your web browser at the root of the server. The default URL is [http://127.0.0.1:7700](http://127.0.0.1:7700). All you need to do is open your web browser and enter MeiliSearch’s address to visit it. This will lead you to a web page with a search bar that will allow you to search in the selected index.
Now that your MeiliSearch server is up and running, you can learn more about how to tune your search engine in [the documentation](https://docs.meilisearch.com).
Hey! We're glad you're thinking about contributing to MeiliSearch! Feel free to pick an [issue labeled as `good first issue`](https://github.com/meilisearch/MeiliSearch/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22), and to ask any question you need. Some points might not be clear and we are available to help you!
Also, we recommend following the [CONTRIBUTING](./CONTRIBUTING.md) to create your PR.
The code in this repository is only concerned with managing multiple indexes, handling the update store, and exposing an HTTP API.
Search and indexation are the domain of our core engine, [`milli`](https://github.com/meilisearch/milli), while tokenization is handled by [our `tokenizer` library](https://github.com/meilisearch/tokenizer/).
To see what information we're retrieving, please see the complete list [on the dedicated issue](https://github.com/meilisearch/MeiliSearch/issues/720).
The feature requests are not managed in this repository. Please visit our [dedicated repository](https://github.com/meilisearch/product) to see our work about the MeiliSearch product.
If you have a feature request or any feedback about an existing feature, please open [a discussion](https://github.com/meilisearch/product/discussions).
MeiliSearch is developed by [Meili](https://www.meilisearch.com), a young company. To know more about us, you can [read our blog](https://blog.meilisearch.com). Any suggestion or feedback is highly appreciated. Thank you for your support!