Amazon Kendra is an intelligent search service powered by machine learning (ML). It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. In some scenarios, you need the search results to be filtered based on the context of the user making the search. Additional refinement is needed to find the documents specific to that user or user group as the top search result.
In this blog post, we focus on retrieving custom search results that apply to a specific user or user group. For instance, faculty in an educational institution belongs to different departments, and if a professor belonging to the computer science department signs in to the application and searches with the keywords “faculty courses,” then documents relevant to the same department come up as the top results, based

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