Natural Language (NLP) is a really broad area, so what I would suggest is to break down what is actually need by the user. For example, sometimes the goal is to be able to use NLP to ask questions and get answers. Or othertimes, it is to be able to let users enter a search query that is not a set of words, but more like a phrase and have the search understand it. For example, when I search "hot dog" it should know that I am not referring to "puppies", but rather food. For each of these cases, I highly recommend that you take a look at the semantic search capability we just introduced (
https://docs.microsoft.com/en-us/azure/search/semantic-search-overview). In some cases, there are really advanced NLP cases. For example "find me all the homes in seattle that have 3 bedrooms and are less than $1m". This is advanced because you need to understand that some of the query ("3 bedrooms") need to be mapped to a filter query (bedrooms == 3). for this, you can do training of the users intent using LUIS (
https://www.luis.ai/), but this requires a lot of training, and I would not likely suggest that you start here.
