Thanks for the reply. We have many users having many conversations, that have taken many different paths in their journey in the health domain. The thought of having intents and all data stored in the graph is that we can add context and history (using pattern matching and graph algorithiums) to an intent and rank responses relevant to the users and similar users’ past interactions.
With 50 million users stored, all of their history stored along with every interaction in the healthcare space. We would like to use that in the solution.
Couple that with storing the user’s chat history with not only this system but all other histories including the user’s searches, emails, notes, etc…
Maybe storing intents we can link with other elements to help enrich the user’s experience. We can also link the intents (tree structure) so to grab the next intent one would simply crawl down the children entities.
Ideally, we would love to incorporate our graph engine (not just the domain knowledge) with an NLP/NLP engine like RASA.
Please excuse any ignorance I have with RASA due to the fact I’m a DB (graph) / Engineer vs RASA expert.
Thanks for your help @koaning!