Upgrade RAG Apps with GraphRAG
JeremyCMorgan · x · 2026-07-15
This guide targets those who have built RAG apps, addressing a common problem: LLMs grasp the gist but often miss key associations. It recommends using GraphRAG to introduce graph structures into the retrieval process, and using Neo4j as both vector store and graph database to simplify the tech stack. The author also mentions that with Spring AI, a demo app can be upgraded into a more reliable system that provides structured, evidence-based answers.
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