This is documentation for Rasa Documentation v2.x, which is no longer actively maintained.
For up-to-date documentation, see the latest version (3.x).

Version: 2.x

Using NLU Only

Find out how to use only Rasa NLU as a standalone NLU service for your chatbot or virtual assistant.

If you want to use Rasa only as an NLU component, you can!

Training NLU-only models

To train an NLU model only, run:

rasa train nlu

This will look for NLU training data files in the data/ directory and saves a trained model in the models/ directory. The name of the model will start with nlu-.

Testing your NLU model on the command line

To try out your NLU model on the command line, run the following command:

rasa shell nlu

This will start the rasa shell and ask you to type in a message to test. You can keep typing in as many messages as you like.

Alternatively, you can leave out the nlu argument and pass in an nlu-only model directly:

rasa shell -m models/nlu-20190515-144445.tar.gz

Running an NLU server

To start a server with your NLU model, pass in the model name at runtime:

rasa run --enable-api -m models/nlu-20190515-144445.tar.gz

You can then request predictions from your model using the /model/parse endpoint. To do this, run:

curl localhost:5005/model/parse -d '{"text":"hello"}'