In the rapidly evolving landscape of generative artificial intelligence (Gen AI), large language models (LLMs) such as OpenAI’s GPT-4, Google’s Gemma, Meta’s LLaMA 3.1, Mistral.AI, Falcon, and other AI tools are becoming indispensable business assets.
One of the most promising advancements in this domain is Retrieval Augmented Generation (RAG). But what exactly is RAG, and how can it be integrated with your business documents and knowledge?