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.
