RAG

Retrieval-Augmented Generation

A powerful technique used in natural language processing (NLP) and machine learning (ML) that combines retrieval and generation models. It’s directly related to sales and marketing as it can enhance content generation and recommendation systems for sales and marketing strategies.

In RAG, a retrieval model is used to search a database of existing text data to find relevant information. Then, a generation model generates coherent and context-aware responses based on the retrieved information. This approach is valuable in various applications, including chatbots, content generation for marketing materials, and customer support systems, as it allows for more contextually relevant and informative responses.

Additional Acronyms for RAG

• RAG - Red, Amber, Green