Generative AI, with Large Language Models (LLMs) proved a powerful catalyst by pacing up the race of Artificial Intelligence across industries by enabling systems process, understand, generate, and manipulate human language in a way that was previously thought to be beyond the reach of machines.One amazing business application of Gen-AI in real-world enterprises applications is the customer engagement through generating personalized content that could effectively target customer, impress them and ultimately driving more revenues.Personalized Customer Experience is a powerful tool enterprises are leveraging today to create more tailored engagement for the customers through various engagement channels like emails, SMS, Phone, address, applications and advertising. If we can blend in the use-cases of generative-AI, that would be delivering true value of personalized experiences. In this article, We will cover a gen-AI application for Email engagement Customer scenario using Knowledge Graph grounding on LLMs.
What Is Grounding|RAG?Retrieval-Augmented Generation(RAG) refers to the technique of grounding the LLMs with factual, accurate and contextual data from knowledge sources to retrieve more quality responses. This greatly helps in overcoming the hallucinations and bias.