AI Chatbot Enhanced with Knowledge Graphs and Ontologies

This workflow creates an intelligent AI chatbot that leverages InfraNodus knowledge graphs and reasoning ontologies to deliver contextually rich and accurate responses. The process begins with a trigger upon receiving a chat message, which then sends the user’s input to an external API for augmentation with reasoning based on knowledge graphs. The augmented query is subsequently used to query the knowledge base, utilizing Graph RAG techniques to retrieve relevant information. Throughout the workflow, sticky notes provide detailed explanations of each step, emphasizing the integration of InfraNodus’ graph-based knowledge management with AI chat capabilities. This system is ideal for scenarios requiring expert-level responses, customized knowledge integration, and dynamic reasoning, such as in research, educational platforms, or complex customer support.