Knowledge Graph RAG for Customer Service Answers
Customer Support & Service — Support teams had trouble with complicated questions that needed context drawn from several knowledge areas, product catalogues…
Client: Corporate Customer Service Platform. Sector: Customer Support & Service.
The challenge: Support teams had trouble with complicated questions that needed context drawn from several knowledge areas, product catalogues and past interactions
What we built: A retrieval-augmented generation system linked to knowledge graphs that answers customer service questions intelligently. It pairs semantic search with reasoning over the graph to give precise, context-aware answers that can be fully traced
Tech used: RAG, Knowledge Graphs, Neo4j, LangChain, Vector Search, Graph Neural Networks.
- Answer Accuracy: 96.5%
- Time to Resolve: -70%
- Customer Satisfaction: +88%
- Agent Output: +3x