How Do Your Users Use Your Chatbot? From Free Text to Knowledge Graph
Do you actually know what your users are saying in your chatbot, or do you just think you do? In this post, we explore how to turn natural language conversations into structured, queryable knowledge graphs using semantic triples persisted in Neo4j. Through a practical hotel support example, we show how to connect users, problems, and locations, moving from "it seems like they complain about this" to traceable insights backed by real evidence. An approach that applies to e-commerce, SaaS, healthcare, and much more.