RAG Is Not a Vector Database Problem: Engineering Retrieval Systems That Actually Work
Introduction: The RAG Demo That Works Until It Meets Reality Retrieval-Augmented Generation (RAG) has become one of the most practical approaches to building applications powered by Large Language Models (LLMs). The idea is straightforward: retrieve relevant information from your own data, provide it to an LLM as context, and generate an answer grounded in that … Read more