Hi, there. Let's recap what we've learned here in our Cognitive Search Solution course. We first started off by understanding what the actual search service was, how to create it within the Azure portal and what some of the configuration options were. Once we were able to do that, we then started to look at how to import data into our search service so that we could actually make it searchable and make it part of the larger picture which is the index. And this is where we really dove deep into how to create, how to configure and how to test your search index to validate that the data was in fact ingesting correctly.

Now, this requires both an understanding of the index as well as an indexer. And just as a quick review here, this should be a page inside of the Azure portal and specifically within your Azure index that you should now have a good understanding of, understand what all of the attributes are with respect to the fields, and then understand how the data can get mapped into those fields so that you can actually perform your queries appropriately.

Once we had an index set up, it was then our goal to figure out how to provide the best query results possible. And in some instances that required us talking about how to provide autocomplete functionality and autosuggest functionality based on specific fields in your index. But what happens when the query results are maybe not providing the best results that you think they should be? That's where we looked at some of the different options for improving relevance to your search queries. And then lastly, how to provide synonym maps that would be made available within the search service as a whole so that you could actually search for the word dog and get documents back that also contained the word canine, puppy, and potentially others, depending upon your synonym map.

The most important pieces though that I talked about in this course were two things. One, understand your data. It's the only way that you're going to be able to create a valid index that is gonna provide search results that are relevant to your application usage. Secondly, is that the search service cannot be completely configured, created, modified, and updated using the Azure portal. You will have to learn the Azure APIs. And for that, I have provided you with a set of examples that you can find here on my GitHub repo.

I hope you found some value in the course. And hopefully, I'll see you again soon.