Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

Machine Learning Blog

This article discusses how to build personalized generative AI chatbots for travel itinerary planning using Amazon Redshift and Amazon Bedrock. It demonstrates using prompt engineering techniques to optimize prompts with data from Redshift and passing them to large language models (LLMs) on Amazon Bedrock to generate customized responses.

Specifically, the article covers:

An overview of prompt engineering and its applications
A solution architecture for a personalized travel itinerary planner
Steps to deploy the solution using AWS services like CloudFormation, Redshift, Amazon Bedrock, and Cognito
How to test the chatbot by asking questions and getting personalized travel itineraries
Cleaning up the deployed resources
Conclusion on leveraging generative AI with custom data using AWS services

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

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