# 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.