---
title: "RAG vs GraphRAG — Two Retrievers, One Question"
url: https://daily.dev/posts/rag-vs-graphrag-two-retrievers-one-question-pmfza1smc
source_url: https://medium.com/neo4j/rag-vs-graphrag-two-retrievers-one-question-c969ae5f4230
type: article
source: "neo4j"
published: 2026-07-22T15:40:16.349Z
updated: 2026-07-22T15:40:35.927Z
tags: ["python", "rag", "vector-search", "neo4j"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

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# RAG vs GraphRAG — Two Retrievers, One Question

**[neo4j](https://daily.dev/sources/neo4j)** · 4 min read · 0 upvotes · 0 comments

## Summary

A practical comparison of vector RAG and GraphRAG using a Neo4j movie dataset. Vector RAG finds semantically similar content via plot embeddings, while GraphRAG enriches those results by traversing graph relationships (genres, cast, ratings) before passing context to the LLM. A side-by-side terminal demo built with the neo4j-graphrag Python package illustrates how GraphRAG returns more accurate, structured answers — e.g., finding the highest-rated action film about other planets rather than just a plot-similar one. The demo connects to Neo4j's public dataset and requires only Python and an OpenAI API key.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/neo4j/rag-vs-graphrag-two-retrievers-one-question-c969ae5f4230>

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---

Tags: [#python](https://daily.dev/tags/python), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#neo4j](https://daily.dev/tags/neo4j)

[View this post on daily.dev](https://daily.dev/posts/rag-vs-graphrag-two-retrievers-one-question-pmfza1smc)