Tag Archives: Retrieval-Augmented Generation

Advanced RAG – Pushing the Boundaries of AI Knowledge Retrieval

Let’s be honest—AI models are smart, but they can also be wildly overconfident. Ever had ChatGPT confidently tell you that tomatoes are vegetables, only to backtrack when you call it out? Yeah, that’s it. Large Language Models (LLMs) create responses based on the material they were trained on, but they are not well-versed (“know”) with Continue Reading »

Understanding Retriev alAugmented Generation

Understanding Retrieval-Augmented Generation (RAG)

In the ever-evolving world of artificial intelligence (AI), large language models (LLMs) like ChatGPT have changed the way of interaction with technology. Their ability to generate human-like responses to a variety of questions made them revolutionary. This is where Retrieval-Augmented Generation (RAG) comes into play. RAG is a method designed to overcome these challenges and Continue Reading »