Add instruction to run loadcorpora in readmes

documentation/First-time-setup.md

@@ -77,7 +77,7 @@ _Note:_ these instructions are for indexing a corpus that already has a corpus d
 
 1. Add the corpus to the `CORPORA` dictionary in your local settings file. See [CORPORA settings documentation](/documentation/Django-project-settings.md#corpora).
 2. Set configurations for your corpus. Check the definition file to see which variables it expects to find in the configuration. Some of these may be optional, but you will at least need to define the (absolute) path to your source files.
-3. Activate your python virtual environment. Create an ElasticSearch index from the source files by running, e.g., `yarn django index dutchannualreports`, for indexing the Dutch Annual Reports corpus in a development environment. See [Indexing](documentation/Indexing-corpora.md) for more information.
+3. Activate your python virtual environment. Run the `loadcorpora` admin command (`yarn django loadcorpora`) to register the new corpus in the SQL database. Then create an ElasticSearch index from the source files by running, e.g., `yarn django index dutchannualreports`, for indexing the Dutch Annual Reports corpus in a development environment. See [Indexing](documentation/Indexing-corpora.md) for more information.
 
 ## Running a dev environment
 

documentation/Indexing-corpora.md

@@ -6,6 +6,7 @@ You can start indexing once you have
 - A python source file for the corpus
 - A directory with source data
 - Added the necessary properties to django settings
+- Run the admin command `loadcorpora` (`yarn django loadcorpora`)
 
 The basic indexing command is: