What Is RAG (Retrieval-Augmented Generation)? Plain-English Explanation + Enterprise Guide
RAG (Retrieval-Augmented Generation) development combines a vector database of your proprietary documents with a large language model, so the AI answers questions using your actual data — not generic training data. ConsultingWhiz builds production RAG systems for enterprises that need accurate, citation-backed AI answers from internal knowledge bases.
RAG stops AI hallucinations by grounding LLM answers in your actual documents. This guide explains exactly how RAG works, when to use it, what it costs to build, and how to choose the right architecture.