Memgraph
Demo

RAG vs GraphRAG demo

We run the same questions against vector RAG and GraphRAG on the same dataset. You see exactly where similarity search falls short and where graph traversal fills the gap - with full traceability into every entity and relationship the system used.

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  • Same data, same questions

    VectorDB for vector RAG, Memgraph for GraphRAG - head to head on 82 enterprise documentation pages.

  • Full traceability

    See the Cypher queries, the entities, and the relationships the system traversed to reach each answer.

  • 20 minutes

    Five questions across five categories. You'll walk away knowing exactly where graph makes the difference.

Five questions. Five blind spots in vector RAG.

Each question targets a specific pattern where the completeness of the answer matters. RAG always returns something - the question is whether it returns everything.

  • Completeness - Does it find everything?

    When you ask for all dependencies or all affected systems, vector RAG retrieves a sample. GraphRAG traverses every edge and returns the full picture.

    Give me a complete inventory of everything that depends on the Auth module.

  • Multi Hop - Can it follow the chain?

    The answer lives across three documents. Vector RAG finds one or two. GraphRAG chains entity-relationship-entity across all three.

    Will my Kafka auth still work after upgrading from v2.8 to v3.2?

  • Causal - What breaks downstream?

    Change impact questions - “if I flip this switch, what happens over there?” - require following dependency direction. The graph has the edges; chunks don't.

    What happens to scheduled jobs if we switch to async API mode?

  • Contradiction - Which version is current?

    The docs say the default is 100. They also say it's 250. Both were correct - in different versions. GraphRAG knows which supersedes which.

    What is the default value for max_connections?

  • Disambiguation - Which one do you mean?

    Engineers ask imprecise questions. When a term maps to two distinct components, GraphRAG resolves the ambiguity before retrieving - not after.

    How do I configure the monitoring system?

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