GraphRAG with Neo4j 2026: Hands-On Cypher & LlamaIndex
GraphRAG Neo4j in 2026: build knowledge-graph retrieval with hands-on Cypher and LlamaIndex, and fix the multi-hop questions vector-only RAG answers wrong.
Chapter 1: Why GraphRAG in 2026: Where Vector-Only Retrieval Breaks Down If you shipped a RAG system in the last two years, you already know the demo curve. The first week is magic: you chunk a few thousand documents, push embeddings into a vector store, wire up a retriever, and the answers come back sharp. Then someone from legal asks, "Which of our vendors are exposed to the same subprocessor that had the outage?" and the whole thing falls apart. Not with an error — with a confident, fluent, wrong answer assembled from five chunks that each mention a vendor...