Overview
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QnABot on AWS is a generative artificial intelligence (AI) solution that responds to customer inquiries across multiple languages and platforms, enabling conversations through chat, voice, SMS, and Amazon Alexa. This versatile assistant helps organizations improve customer service through instant, consistent responses across a variety of communication channels with no coding required.
Benefits
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Provide personalized tutorials and question and answer support with intelligent multi-part interaction. Easily import and export questions from your QnABot setup.
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.
Automate customer support workflows. Realize cost savings and serve your customers better so they can get accurate answers and help quickly.
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).
Technical details
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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.
Step 1
The admin deploys the solution into their AWS account, opens the content designer user interface (UI) or Amazon Lex web client, and uses Amazon Cognito to authenticate.
Total results: 19
- Headline
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Customer Experience
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Artificial Intelligence
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Retail
Total results: 1
- Publish Date
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- Version: 7.0.0
- Released: 1/2025
- Author: AWS
- Est. deployment time: 30-45
mins - Estimated cost: See details