Augmenting RAG Systems with Knowledge Graphs for Customer Service Q&A

In the world of customer service and technical support, providing rapid and accurate resolutions is paramount for ensuring customer satisfaction and loyalty. Traditional retrieval-augmented generation (RAG) systems have proven valuable for question-answering, but face limitations when dealing with complex, interlinked data sources like customer service ticketing systems.

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