Getting Started

Check out the Amazon Lex Getting Started page for documentation, tutorials, how-to videos, code samples, and SDKs.


Tech talk: Transform your contact center with Conversational AI and Real-time Call Analytics
AWS re:Invent 2021: Automated chatbot designer in Amazon Lex
AWS re:Invent 2020: Modernize your contact center with AWS Contact Center Intelligence (CCI)
Create a QnA Bot with Amazon Lex and Amazon Kendra to Answer Questions - AWS Online Tech Talks
Improve customer service w/ intelligent call routing in your call center (31:05)
Build an agent assist solution to improve call resolution & agent productivity
Workshop: Create an Amazon Lex-based Question and Answer Chatbot with the AWS QnA Bot Solution
Multi-lingual FAQ bots with agent transfer using Amazon Lex, Kendra, Connect, and open source QnABot
AWS re:Invent 2020: Create sophisticated conversational experiences using Amazon Lex
AWS re:Invent 2020 | Build an AI-powered chatbot using the AWS QnABot Solution
Get Started w/Machine Learning | AWS Power Hour: Machine Learning | Episode 6: Amazon Connect & Lex



The AWS QnABot is a multi-channel, multi-language conversational chatbot solution, built on Amazon Lex, that responds to your customer’s questions, answers, and feedback. Without programming, the QnABot solution allows customers to quickly deploy self-service conversational AI on multiple channels including their contact centers, web sites, social media channels, SMS text messaging, or Alexa. Customers can configure curated answers to frequently asked questions using an integrated content management system, supporting rich text and rich voice responses optimized for each channel, or they can expand the solution's answer knowledge base to include unstructured documents, PDFs, and existing web page content (via a seamless integration with Amazon Kendra).

The solution supports multiple languages with optional automatic translation of answers to the user’s local language. The QnABot solution can also ask questions making it suitable for quickly building authentication flows, diagnostic workflows, and data capture such as surveys, questionnaires, and decision trees. For more advanced scenarios the QnABot can be extended to integrate with backend systems, supporting data dips for personalized and dynamic responses, and for integrating with CRM and ticketing systems. Integrated user feedback and monitoring provides visibility into customer queries, concerns, sentiment, and facilitates tuning and enriching content. QnABot uses Amazon Lex and can easily be added to existing or new bots to enrich customer experience and reduce call center loads.

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View AWS blog: Create a question and answer bot with Amazon Lex and Amazon Alexa »


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