‫Another machine learning service on AWS
‫is called Amazon Kendra.
‫So this one is a fully-managed document search service
‫that is powered by machine learning
‫and it allows you to extract answers from within a document.
‫That document could be text, PDF, HTML
‫PowerPoints, Microsoft Word, FAQs, et cetera, et cetera.
‫So you have a lot of data sources
‫where these documents may be
‫and you see some of them right now in the screen
‫and they're going to be indexed by Amazon Kendra
‫which is going to build internally
‫a knowledge index powered by machine learning.
‫And how does it help from an end-user perspective?
‫Well, we get natural language search capabilities
‫just like you go on Google.
‫So for example, if a user says,
‫Hey, where is the IT support desk into Amazon Kendra?
‫Kendra can reply, 1st floor.
‫And this could be due to the fact that Kendra knows
‫from all the resources that it took
‫that the IT support desk was on the 1st floor,
‫which is quite awesome.
‫And also, you can just do a normal search
‫and it will learn from the user interaction and feedback
‫to promote preferred search results
‫which is called incremental learning.
‫Finally, you can fine tune the search results, for example,
‫based on the important data, importance of data,
‫the freshness, or whatever custom filters you have, okay?
‫So from an exam perspective,
‫whenever you see a document search service,
‫think Amazon Kendra.
‫That's it, I will see you in the next lecture.