Retrieval Augmented Generation promises to ground AI responses in facts, but building reliable RAG pipelines remains riddled with unspoken challenges. A new deep-dive tutorial reveals critical implementation nuances—from chunking strategies to reranking techniques—that separate performative demos from production-ready systems. This is essential knowledge for developers wrestling with LLM hallucinations.