AWS Machine Learning Blog
Category: Amazon Lex
Create a questionnaire bot with Amazon Lex and Amazon Alexa
In the Create a Question and Answer Bot with Amazon Lex and Amazon Alexa blog post, we showed you how you could create a QnABot (pronounced “Q and A Bot”) for a situation in which your users have questions and you have answers. Now, what if this situation were reversed? What if you could ask […]
Enhance Your Amazon Lex Chatbots with Responses
You can now add responses to your Amazon Lex chatbots directly from the AWS Management Console. Use responses to set up dynamic, engaging interactions with your users. Using responses Responses are the final element of a bot’s intent, and are displayed to users after the fulfillment of the intent is complete. A response might include […]
Deploy a Web UI for Your Chatbot
December 2023: Post was updated with introduction of streaming capability – See latest releases in Github September 2021: Post was updated with introduction of Transfer to Amazon Connect live chat You’ve built a very cool chatbot using Amazon Lex. You’ve tested it using the Amazon Lex console. Now you’re ready to deploy it on your […]
Build an Amazon Lex Chatbot with Microsoft Excel
This is a guest post by AWS Community Hero Cyrus Wong. Our institution (IVE) here in Hong Kong has begun experimenting with Amazon Lex in teaching, research, and healthcare. We have many non-technical employees, such as English teachers in IVE and therapists from IVE Childcare, Elderly and Community Services Discipline, who don’t have the technical […]
How Astro Built Astrobot Voice, a Chatbot for Email
This is a guest post by Roland Schemers, CTO of Astro Technology, Inc. Astro, in their own words, “creates modern email apps for Mac, iOS and Android, powered by artificial intelligence, built for people and teams. With Astrobot Voice, an in-app email voice assistant, you can now read, manage, and reply to emails without leaving Astro’s […]
Build a Voice Kit with Amazon Lex and a Raspberry Pi
In this post, we show how you can embed Amazon Lex into custom hardware using widely available components. We demonstrate how you can build a simple voice-based AI kit and connect it to Amazon Lex. We’ll use a Raspberry Pi and a few off-the-shelf components totaling less than $60. By the end of this blog […]
Create a Question and Answer Bot with Amazon Lex and Amazon Alexa
Your users have questions and you have answers, but you need a better way for your users to ask their questions and get the right answers. They often call your help desk, or post to your support forum, but over time this adds stress and cost to your organization. Could a chat bot add value for your customers? Interestingly, a recent poll shows that 44% of people would rather talk to a chat bot than to a human! In this post we provide a sample solution, called QnABot (pronounced “Q and A Bot”). The QnABot uses Amazon Lex and Amazon Alexa to provide a conversational interface for your “Questions and Answers.” This allows your users to ask their questions and get quick and relevant answers.
Enhancements to the Amazon Lex Console Let You Test Your Bot for Better Troubleshooting
Building your chatbot in the Amazon Lex console takes just a few steps, and testing your bot is just as easy. We’ve made enhancements to the Test window of the Amazon Lex console which now provides you more details during testing and enables easier bot troubleshooting. Once you’ve built a bot to test, the Test […]
Export your Amazon Lex bot schema to the Alexa Skills Kit
You can now export your Amazon Lex chatbot schema into the Alexa Skills Kit to simplify the process of creating an Alexa skill. Amazon Lex now provides the ability to export your Amazon Lex chatbot definition as a JSON file that can be added to the Alexa Skills Kit (ASK). Once you add the bot schema file […]
Use Synonyms and Slot Value Validation in your Amazon Lex Chatbots
You can now provide synonyms for slot values in Amazon Lex. With the synonym functionality, you can specify multiple synonyms for a slot value in your chatbot. The synonyms specified are resolved to the corresponding slot values. For example, if the slot value is “comedy”, with “funny” and “humorous” specified as synonyms, then user input […]