Beyond Vector Search: Building a Deterministic 3-Tiered Graph-RAG System

# Plain-English Summary Companies using AI to search through their documents are discovering that simple vector search—which finds similar information by converting text into numerical patterns—often misses important connections and can give unreliable answers. A new approach called Graph-RAG organizes information like a web of connected ideas rather than isolated chunks, making AI systems more accurate and predictable when answering complex questions that require understanding how different facts relate to each other. This matters for anyone using AI to find answers in large document collections, from legal firms to healthcare companies, because it means fewer hallucinations and more trustworthy results.