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  Amazon Kendra easy-to-use enterprise search service (i.e., powered by ML) allows developers to add search capabilities to the applications which helps in faster data discovery within vast amount of data spread across their company. some of the datasets may include manuals, reports, FAQ's, human resources or customer service guides data could be stored anywhere on S3, Sharepoint, Salesforce, ServiceNow, RDS, Microsoft OneDrive etc., when you type a question - Kendra uses ML algorithms to understand context and return the most relevant results.  Steps to enable Kendra a high-level: Create an Amazon Kendra Index After index is created, we can explore on using the data source connectors based on where our data resides. Then ingest the data based on the connector selected. Based on the ingested data, we need to create a document metadata that helps in faceting and filtering the documents.  Next, we can generate and ingest a list of FAQ's Run search queries and audit the answ...