RAG Workflows Explained

Discover the power of retrieval-augmented generation (RAG) workflows, which enhance the capabilities of generative AI by injecting external data into prompts. This approach allows for more accurate responses by leveraging relevant information from various sources, such as documentation and webinars. The discussion highlights the effectiveness of this method, even in its simplest form, and explores the nuances of fine-tuning versus strategic data insertion.