Watson Conversation Demo Framework (an orchestration engine Watson Developer Cloud services and external services)
This demo framework leverages the Conversation, Retrieve and Rank, ""Text to Speech**, Speech to Text and Predictive Analytics services. Powered by Watson, these services allow for a personalized experience in which users can engage in natural, human-like conversations with the chat engine.
Sign up for Bluemix at https://console.ng.bluemix.net and DevOps Services at https://hub.jazz.net. When you sign up, you'll create an IBM ID, create an alias, and register with Bluemix.
- Select the Deploy to Bluemix button below to fork a copy of the project code and create the services.
- Once you fill in the necessary fields, click DEPLOY to start the deployment of the Engagement Advisor app and static services used.
After the pipeline has been configured, you can monitor the deployment in DevOps Services.
- In DevOps Services, click MY PROJECTS and select your newly created project.
- Click BUILD & DEPLOY.
- Select View logs and history to monitor the deployment stages.
Once the deployment finishes, you will have an instance of the WEA Demo Framework app in your Bluemix Dashboard.
The Dialog service lets you design the way your app interacts with a user through a conversational interface. The service can track and store user profile information to learn more about users, guide them through processes based on their unique situation, or pass their information to a back-end system to help them take action and get the help they need.
For more information about the Dialog service, go to the Bluemix documentation.
The Natural Language Classifier service applies cognitive computing techniques to return the best matching classes for a sentence or phrase. In this case, when you submit a question, the service returns keys to the best matching answers or next actions to the app.
For more information about the Natural Language Classifier service, go to the Bluemix documentation.
The Retrieve and Rank service, built on top of Apache Solr, helps users find the most relevant information for their query by using a combination of search and machine-learning algorithms. Developers load their data into the service, train a machine-learning model based on known relevant results, and then leverage this model to provide improved results to their users based on their question or query. In this case, the app retrieves answers from educational program documents.
For more information about the Retrieve and Rank service, go to the Bluemix documentation.