QnABot on AWS
Quickly create more capable and compelling conversational AI experiences across multiple channels, such as contact centers and social media
Overview
Benefits
Enhance your customer’s experience
Provide personalized tutorials and question and answer support with intelligent multi-part interaction. Easily import and export questions from your QnABot setup.
Leverage natural language and semantic understanding
Use Amazon Kendra natural language processing (NLP) capabilities to better understand human questions. Build conversational applications using Amazon Bedrock, a managed service offering high-performance foundation models.
Reduce customer support wait times
Automate customer support workflows. Realize cost savings and serve your customers better so they can get accurate answers and help quickly.
Implement the latest generative AI technology
Utilize intent and slot matching for diverse Q&A workflows. Leverage natural language understanding, context management, and multi-turn dialogues through large language models (LLMs) and retrieval augmented generation (RAG).
How it works
You can automatically deploy this architecture using the implementation guide and the appropriate AWS CloudFormation template. If you want to deploy using VPC, first deploy a VPC with two private and two public subnets spread over two Availability Zones, and then use the QnABot VPC AWS CloudFormation template. Otherwise, use the QnABot Main AWS CloudFormation template.
About this deployment
- Version: 7.1.3
- Released: 9/2025
- Author: AWS
- Est. deployment time: 30-45 mins
- Estimated cost: See details
Deploy with confidence
Everything you need to launch this AWS Solution in your account is right here
We'll walk you through it
Get started fast. Read the implementation guide for deployment steps, architecture details, cost information, and customization options.
Let's make it happen
Ready to deploy? Open the CloudFormation template in the AWS Console to begin setting up the infrastructure you need. You'll be prompted to access your AWS account if you haven't yet logged in.
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