⚡ Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine 🔍
**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. For more information about features go to [our documentation](https://docs.meilisearch.com/).
#### APT (Debian & Ubuntu)
```bash
echo "deb [trusted=yes] https://apt.fury.io/meilisearch/ /" > /etc/apt/sources.list.d/fury.list
apt update && apt install meilisearch-http
meilisearch
```
#### Download the binary (Linux & Mac OS)
```bash
curl -L https://install.meilisearch.com | sh
./meilisearch
```
#### Compile and run it from sources
If you have the latest stable Rust toolchain installed on your local system, clone the repository and change it to your working directory.
```bash
git clone https://github.com/meilisearch/MeiliSearch.git
cd MeiliSearch
```
In the cloned repository, compile MeiliSearch.
```bash
rustup override set stable
rustup update stable
cargo run --release
```
### Create an Index and Upload Some Documents
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.
```bash
curl -L 'https://bit.ly/2PAcw9l' -o movies.json
```
MeiliSearch can serve multiple indexes, with different kinds of documents.
It is required to create an index before sending documents to it.
```bash
curl -i -X POST 'http://127.0.0.1:7700/indexes' --data '{ "name": "Movies", "uid": "movies" }'
```
Now that the server knows about your brand new index, you're ready to send it some data.
```bash
curl -i -X POST 'http://127.0.0.1:7700/indexes/movies/documents' \
--header 'content-type: application/json' \
--data-binary @movies.json
```
### Search for Documents
#### In command line
The search engine is now aware of your documents and can serve those via an HTTP server.
The [`jq` command-line tool](https://stedolan.github.io/jq/) can greatly help you read the server responses.
```bash
curl 'http://127.0.0.1:7700/indexes/movies/search?q=botman+robin&limit=2' | jq
```
```json
{
"hits": [
{
"id": "415",
"title": "Batman & Robin",
"poster": "https://image.tmdb.org/t/p/w1280/79AYCcxw3kSKbhGpx1LiqaCAbwo.jpg",
"overview": "Along with crime-fighting partner Robin and new recruit Batgirl...",
"release_date": "1997-06-20",
},
{
"id": "411736",
"title": "Batman: Return of the Caped Crusaders",
"poster": "https://image.tmdb.org/t/p/w1280/GW3IyMW5Xgl0cgCN8wu96IlNpD.jpg",
"overview": "Adam West and Burt Ward returns to their iconic roles of Batman and Robin...",
"release_date": "2016-10-08",
}
],
"offset": 0,
"limit": 2,
"processingTimeMs": 1,
"query": "botman robin"
}
```
#### Use the Web Interface
We also deliver an **out-of-the-box web interface** in which you can test MeiliSearch interactively.
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.
| [See the gif above](#demo)
## Documentation
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).
## Contributing
Hey! We're glad you're thinking about contributing to MeiliSearch! If you think something is missing or could be improved, please open issues and pull requests. If you'd like to help this project grow, we'd love to have you! To start contributing, checking [issues tagged as "good-first-issue"](https://github.com/meilisearch/MeiliSearch/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) is a good start!
## Telemetry
MeiliSearch collects anonymous data regarding general usage.
This helps us better understand developers usage of MeiliSearch features.