Retrieval-Augmented Generation Explained!
A quick technical deep dive into Retrieval-Augmented Generation (RAG), the key architecture for building reliable enterprise AI. Using the Klarna customer service failure as a case study, we explain the concept of LLM grounding and why it's critical for preventing hallucinations. We walk through the RAG workflow: ingestion, embedding, retrieval, and augmentation. Understand why treating the LLM as a reasoning engine, not a knowledge base, is the future of applied AI. #AI #RAG #LLM #MachineLearning #GenerativeAI #Hallucination #EnterpriseAI