Chat
From start to finish, set up a chat-based application with NLX
Last updated
From start to finish, set up a chat-based application with NLX
Last updated
You'll complete the following to successfully launch your chat application:
Est. time to complete: ~5 minutes
A one-time integration of a Natural Language Processing (NLP) engine must be completed in your workspace:
Est. time to complete: ~10 minutes
Begin by identifying the tasks your conversational AI application will automate and organize them into individual topics handled by . Determine the sequence of steps and messaging that the conversational application follows to assist a user with the task. The conversation workflow is assembled in a flow's Canvas with a pattern of nodes similar to a flow diagram.
Each flow is invoked when your chosen AI model identifies user intent from a user's utterance ("I want to order room service") and matches it to a flow you've created (OrderRoomService). This match is done based on the training data you provide for your AI model.
Select Flows in workspace menu > Choose New flow > Enter a descriptive name (no spaces or special characters) > Select Save
Connect first node to Start node > Connect sequential nodes via node edges or stacking
Add conversational AI messages to nodes by selecting + Add message on a node's side panel
Click Save
Repeat for any additional flows your application will help automate.
Est. time to complete: ~10 minutes
Now you'll create the conversational AI application users will interface with. This step involves attaching all flows you want your application to access, defining flows to handle certain behaviors, and setting up the channel your application supports.
Select Applications from workspace menu > Choose New application
Enter a descriptive name > Click Save
Click Flows tab of application > Select Attach flows > Attach one or more flows created to make available to your application > Click Attach selected then Save
Select Default behaviors tab of application > Assign any attached flows to the application's behaviors > Click Save
Select Channels tab of application > Expand API option > Click + Create channel
Click Create channel
A build constructs the array of flows that make up your conversational AI application and updates any changes made to your flows, while deploying makes a successful build live:
Click Deployment tab of application > Select Create or Review & build
Wait for validation to complete > Select Create build*
When satisfied with a successful build, click Deploy
Est. time to complete: ~10 minutes
To make your application available through your frontend and adjust the look, feel, and chat experience with theming and custom UI components, install the NLX Touchpoint SDK:
From Deployment tab of application, select Details next to the Deployed status
Expand the API section under Setup instructions in the pop-up > Select Open Touchpoint configurator
Make adjustments to the theming > Copy Setup snippet > Install on your site
Complete by attaching training data and attaching slots
Add nodes by right-clicking on the Canvas & choosing New node (see available )
Looking for more? See
Click + Add domain under Whitelisted domains > Add your webpage's URL and
*After a build status appears as Built, you may use the Test feature to test the conversation with your application using the latest build.
Looking for more? See
Looking for more? See the