Semantic search has found extremely successful niches in intelligence and legal discovery.  It not only finds a needle in a haystack, but also goes beyond: Semantic search finds the most relevant needles in a needlestack.  Although it gets answers, there has never been an easy-to-understand reasoning of how an answer was derived. In addition, users find unexplainable artificial intelligence hard to trust. Are they serving users’ needs, or are they really serving the AI creator’s bottom line?  So how can users believe the results of semantic search? We will take a look at how this is rapidly achievable using the AI-powered capabilities of Rosette to discover the path to the answers.