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 …
Keep reading with a 7-day free trial
Subscribe to The MLnotes Newsletter to keep reading this post and get 7 days of free access to the full post archives.