swengcrunch

If you build a RAG, you might encounter the frustrating reality of production: basic RAG often isn’t good enough. You’ll see the system retrieve the wrong documents, struggle with complex questions, and provide incomplete answers. Your initial excitement might give way to a critical question: “Why is my smart system sometimes so…dumb?”

We introduce Retrieval-Augmented Generation (RAG), the architectural framework that’s becoming the standard solution for building reliable, trustworthy, and knowledgeable AI applications. At its core, RAG answers the critical question: How do we connect the LLM’s incredible reasoning ability to specific, private, and up-to-date information?