RAG with Knowledge Graphs for Customer Service Q&A

Customer Service & Support: Customer service teams struggling with complex queries requiring contextual understanding across multiple knowledge domains,…

Client: Enterprise Customer Service Platform. Industry: Customer Service & Support.

Challenge: Customer service teams struggling with complex queries requiring contextual understanding across multiple knowledge domains, product catalogs, and historical interactions

Solution: Retrieval-Augmented Generation system integrated with Knowledge Graphs for intelligent customer service question answering. Combines semantic search with graph-based reasoning for accurate, context-aware responses with full traceability

Technologies: RAG, Knowledge Graphs, Neo4j, LangChain, Vector Search, Graph Neural Networks.

• Response Accuracy: 96.5%
• Resolution Time: -70%
• Customer Satisfaction: +88%
• Agent Productivity: +3x

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