# Quick Start

You can deploy your own instant, relevant, and typo-tolerant MeiliSearch engine by yourself. It can be achieved by following these three steps.

# Deploy the Server

You can deploy the server on your own machine. It will listen to HTTP requests on the 7700 port by default.

# Create an Index and Upload Some Documents

MeiliSearch can serve multiple indexes, with different kinds of documents. Therefore, it is required to create an index before sending documents to it.

$ curl -i -X POST '' \
  --data '{
    "name": "Movie"

The response looks like this:

  "name": "Movie",
  "uid": "12345678",

This uid is the :uid identifier used in all indexes/:uid routes.

Now that the server knows about our brand new index, we can send it data. We provide you a dataset, it is available in the datasets/ directory.

$ curl -i -X POST '' \
  --data @datasets/movies/movies.json

# Search for Documents

The search engine is now aware of our documents and can serve those via our HTTP server.

$ curl ''
  "hits": [
      "id": "29751",
      "title": "Batman Unmasked: The Psychology of the Dark Knight",
      "poster": "https://image.tmdb.org/t/p/w1280/jjHu128XLARc2k4cJrblAvZe0HE.jpg",
      "overview": "Delve into the world of Batman and the vigilante justice tha",
      "release_date": "2008-07-15"
      "id": "471474",
      "title": "Batman: Gotham by Gaslight",
      "poster": "https://image.tmdb.org/t/p/w1280/7souLi5zqQCnpZVghaXv0Wowi0y.jpg",
      "overview": "ve Victorian Age Gotham City, Batman begins his war on crime",
      "release_date": "2018-01-12"
  "offset": 0,
  "limit": 2,
  "processingTimeMs": 1,
  "query": "botman"


The jq command line tool can greatly help you read the server responses.