Retrieval Augmented Generation Fuels Surge in Enterprise-level Chatbots
Overview:
Retrieval Augmented Generation (RAG) is favored in enterprise chatbots for its ability to integrate company-specific data, enhancing AI grounding. This approach has transformative potential across various sectors like customer support, business intelligence, and research, offering a competitive edge. RAG's impact is particularly notable in e-commerce, finance, law, and education, driving innovation and operational efficiency. However, deploying RAG requires careful navigation of privacy concerns, ensuring compliance with regulations while maintaining user trust and personalized experiences for enhanced customer interaction. The report explores RAG's application in enterprises, highlighting its significance and challenges.
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Author
Wei Sun
Wei is a senior consultant in Counterpoint specializing in Artificial Intelligence. She is also the China founder of Humanity+, an international non-profit organization which advocates the ethical use of emerging technologies. She formerly served as a product manager of Embedded Industrial PC at Advantech. Before that she was an MBA consultant to Nuance Communications where her team successfully developed and launched Nuance’s first B2C voice recognition app on iPhone (later became Siri). Wei’s early years in the industry were spent in IDC’s Massachusetts headquarters and The World Bank’s DC headquarters.
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