Generative Journey (Slots)
From start to finish, set up a flow using Generative Journey with NLX
Last updated
From start to finish, set up a flow using Generative Journey with NLX
Last updated
Generative Journey is a node type used when constructing a flow that employs a large language model (LLM) to facilitate the process of collecting necessary variables (slots) from a user to complete a task (e.g., collecting preferences for booking a hotel, placing an order, etc.). This both allows for multiple slots to be collected by a single node in your flow and provides greater flexibility for a user to give information in a less rigid, more natural way.
You'll complete the following to successfully launch a workflow powered by Generative Journey:
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
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 from 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
Place a Generative Journey node on the Canvas > Using the node's side panel, assign NLX as the integration
Switch Behavior toggle on node to Slot capture
Provide a succinct prompt to the LLM on what flow the task is part of, the end goal of the task, specific messaging or branding requirements (if any), and things to avoid (if any)
Assign all Required slots needed to complete the task
Link from the node's Success edge to the next node in the flow
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, setting up the channel(s) your application supports, and deploying.
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 > Create one or more communication channels your application will support
A build constructs the array of workflows that make up your 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
Want to see it in action? Explore a few conversations .
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 an intent's Canvas builder with a pattern of nodes similar to a flow diagram.
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
*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 help with channel setup? See
