Summary

In this chapter, we built a solution using Amazon Kendra to automate searching for and deriving insights from document corpuses without having to manually read through the documents, understand the context, interpret the meaning, identify content across documents relevant to a common topic, and so on. We also saw how to set up an intelligent AI-based chat assistant using Amazon Lex that implicitly integrated with the Amazon Kendra intelligent search feature to provide a seamless chat and voice interface for (literally) "talking" to the document. Finally, we used a best practices approach with AWS CloudFormation to deploy our chatbot to a parent website as an embedded widget and distributed it using the Amazon CloudFront content delivery network.

Interestingly, NLP has diverse uses in the field of medicine, as we will see in the next chapter, where we will review how NLP and AI technologies have helped transform modern-day medical claims processing. We will start...