The fusion of Retrieval-Augmented Generation (RAG), SQL-based text querying, and Large Language Models (LLMs) is creating this new reality, transforming how businesses across various sectors leverage data for strategic decision-making. This AI-driven synergy is reshaping the business landscape, offering unprecedented access to tailor-made knowledge and insights.

RAG technology represents a paradigm shift in how LLMs access and utilize information. By dynamically sourcing data from external databases, RAG-equipped LLMs can deliver responses that are both current and highly relevant to specific business contexts.

By interfacing directly with continuously updated databases and publications, RAG-equipped models are significantly less prone to producing outdated or erroneous information.