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Conversations with customer support representatives usually focus around one or more subjects and include relevant queries. It is critical to answer these questions fluently in order to have a productive conversation.

So, you can use AWS Lex to create a clever chatbot and integrate it with AWS Kendra.

“AWS Kendra is a corporate search engine that is both accurate and simple to use”.

AWS Lex

AWS Lex is an AWS chatbot service that allows you to create speech and text-based conversational interfaces for your apps. It allows you to integrate powerful natural language chatbots into your new and current apps.

Why AWS Kendra

  • AWS Kendra is a document indexing and search interface provided by AWS.
  • AWS Kendra can be used to construct an updatable index of documents of various forms, such as plain text, HTML files, Microsoft Word documents, Microsoft PowerPoint presentations, and PDF files.
  • Kendra offers a search API that may be used by a range of client applications, including websites and mobile apps.
  • For all unstructured data clients stored in AWS, AWS Kendra delivers ML-powered search capabilities.
  • Kendra provides native connectors to AWS repository types like S3 and RDS databases that are simple to use.(verify whether it can be used with RDS)
  • Other AI services like Amazon Comprehend, Amazon Transcribe, and Amazon Comprehend Medical can be used to pre-process documents, generate searchable text, extract entities, and enrich the information.

What are the benefits of using AWS Kendra

  • AWS Kendra is a machine-learning-powered enterprise search engine that is highly accurate and simple to use.
  • It provides a more natural approach to search using natural language and yields more accurate results.


Integrate AWS Kendra with AWS Lex

  • When deciding on a product or service, we frequently have questions.
  • Quick and accurate responses will make customer satisfaction.
  • But this kind of repetitive task is well suited for automation so that the support staff can focus on resolving problems.
  • The AWS kendra provides you with the natural language questions to get the answers you are looking for.
  • Whether it may be an FAQ, an answer, a link from the document.
  • The AWS kendra extracts specific answers from the unstructured data.
  • To construct a search index, you can use the Aws Kendra console or APIs to index your FAQs and documents.
  • you need to write and maintain integration code, and any updates to the
  • AWS Kendra searches the index for the most relevant answer to a search query and returns it.
  • AWS provides an inbuilt integration for Kendra into the Lex instance with the help of which we can directly query Kendra from our Lex chatbot.

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