diff --git a/README.md b/README.md
index af6a98a..4e14da2 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,6 @@ it. Once a job is finished, if the result is successful, the server will
 re-schedule it to retrieve new data.
 
 By default, items fetched by each job will be published using a Redis queue.
-Additionally, they can be written to an Elastic Search index.
 
 
 ## Usage
@@ -26,7 +25,7 @@ Additionally, they can be written to an Elastic Search index.
 ### arthurd
 ```
 usage: arthurd [-c <file>] [-g] [-h <host>] [-p <port>] [-d <database>]
-               [--es-index <index>] [--log-path <path>] [--archive-path <cpath>]
+               [--log-path <path>] [--archive-path <cpath>]
                [--no-archive] [--no-daemon] | --help
 
 King Arthur commands his loyal knight Perceval on the quest
@@ -46,7 +45,6 @@ optional arguments:
   -p, --port            set listening TCP port (default: 8080)
   -d, --database        URL database connection (default: 'redis://localhost/8')
   -s, --sync            work in synchronous mode (without workers)
-  --es-index            output ElasticSearch server index
   --log-path            path where logs are stored
   --archive-path        path to archive manager directory
   --no-archive          do not archive fetched raw data
@@ -121,13 +119,12 @@ $ python3 setup.py install
 ## How to run it
 
 The first step is to run a Redis server that will be used for communicating
-Arthur's components. Moreover, an Elastic Search server can be used to store
-the items generated by jobs. Please refer to their documentation to know how to
-install and run them both.
+Arthur's components. Please refer to its documentation to know how to
+install and run it.
 
 To run Arthur server:
 ```
-$ arthurd -g -d redis://localhost/8 --es-index http://localhost:9200/items --log-path /tmp/logs/arthud --no-archive
+$ arthurd -g -d redis://localhost/8 --log-path /tmp/logs/arthud --no-archive
 ```
 
 To run a worker:
@@ -186,9 +183,6 @@ Then, send this JSON stream to the server calling `add` method.
 $ curl -H "Content-Type: application/json" --data @tasks.json http://127.0.0.1:8080/add
 ```
 
-For this example, items will be stored in the `items` index on the
-Elastic Search server (http://localhost:9200/items).
-
 ## Listing tasks
 
 The list of tasks currently scheduled can be obtained using the method `tasks`.