Demystifying the RAG Pipeline: A Simplified Look at Retrieval-Augmented Generation
In the fast-paced world of AI, staying updated on how models retrieve and process knowledge is crucial. One of the most powerful approaches gaining momentum is Retrieval-Augmented Generation (RAG) — a method that supercharges AI by combining retrieval from a knowledge base with generative capabilities. But what does it actually look like in practice? This article describes RAG.
Demystifying the RAG Pipeline: A Simplified Look at Retrieval-Augmented Generation
In the fast-paced world of AI, staying updated on how models retrieve and process knowledge is crucial. One of the most powerful approaches gaining momentum is Retrieval-Augmented Generation (RAG) — a method that supercharges AI by combining retrieval from a knowledge base with generative capabilities. But what does it actually look like in practice?
