What is Retrieval-Augmented Generation (RAG) and how do I implement it?
In the ever-changing field of Artificial Intelligence, Large Language Models (LLMs) such as GPT-4 and Claude are extremely powerful However, they do have two main weaknesses that they are able to "hallucinate" (make the world up) and their knowledge can be removed at a particular date.
Enter Retrieval-Augmented Generation (RAG). In 2026 RAG will be the norm to make AI trustworthy, accurate and current. Instead of basing its decisions solely on the knowledge that the model acquired at the beginning of its training RAG permits its AI to "look at" data from your private files or real-time databases before producing an answer.
https://www.iteducationcentre.....com/artificial-intel
