The use case our startup is working is one more that I think really works well: why are you showing me these results?
Our product basically takes any search output and uses our internal knowledge graph for our clients to "explain" to the customer "why these results for this query/question?"
We use the same knowledge graph to then extend our client's native search results with much more relevant results using the LLM to better match results to the semantic intent of the question.
It's all quite nifty and transparent; the user wouldn't know that there's an AI involved without labeling it as AI generated.
The use case our startup is working is one more that I think really works well: why are you showing me these results?
Our product basically takes any search output and uses our internal knowledge graph for our clients to "explain" to the customer "why these results for this query/question?"
We use the same knowledge graph to then extend our client's native search results with much more relevant results using the LLM to better match results to the semantic intent of the question.
It's all quite nifty and transparent; the user wouldn't know that there's an AI involved without labeling it as AI generated.