Understanding Retrieval-Augmented Generation: How Does It Work?

25 Tem 18:45

I'm exploring retrieval‑augmented generation (RAG) and would like a clear overview. How does the model combine external knowledge retrieval with generative capabilities, and what are the typical steps involved in the pipeline? Additionally, what are the main challenges when integrating a vector store with a language model? Looking forward to your explanations and any practical tips.