Hello, readers; I'm thrilled to have you join me as we explore an exciting trend in the industry known as Retrieval Augmented Generation . This cutting-edge technique is transforming how we handle customer queries, offering superior accuracy compared to traditional chatbots. With RAG, our chatbots can tap into recent data, providing more relevant responses—a capability many pre-trained Language Models lack.
However, given the ever-changing nature of your inventory, constantly re-training a chatbot becomes impractical over time. That's where RAG heads up. By leveraging your product catalog, RAG swiftly retrieves relevant information from your data store or the knowledge base. It then generates a response with this information. This approach not only reduces training costs but also ensures seamless adaptation to dynamic data in modern businesses.