Neo4j & Generative AI Certification

This certification validates your ability to build production Graph-based Retrieval Augmented Generation (GraphRAG) applications using Neo4j’s knowledge graph and vector search capabilities.
Who Is This For?
Backend developers, ML engineers, and data scientists building RAG and GenAI applications who want to demonstrate both core Neo4j competency and GenAI-specific skills.
Exam Details
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50 multiple-choice questions (4 options each, 1 correct answer)
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60 minutes duration
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80% passing score (40/50 correct)
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Open-book: you may reference Neo4j Documentation and neo4j-graphrag documentation during the exam
What You’ll Prove
A passing candidate can:
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Design appropriate graph schemas for RAG applications that leverage semantic search and graph structure
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Write Cypher queries to create nodes, relationships, indexes, and retrieve data for GenAI use cases
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Configure vector search properly and understand similarity functions
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Build RAG pipelines using neo4j-graphrag that combine vector similarity with graph traversal
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Extract entities and relationships from unstructured data into knowledge graphs
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Make informed decisions about modeling, retrieval strategies, and production considerations
Topics Covered
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Neo4j fundamentals – Graph model, Cypher, indexes, Python driver
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Graph data modeling for RAG – Documents, chunks, entities, relationships, metadata
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Vector search and embeddings – Vector indexes, similarity functions, Cypher vector queries
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RAG implementation – Retrievers, hybrid search, graph-augmented context, Text2Cypher
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Knowledge graph construction – Entity/relation extraction, schemas, incremental updates
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Production best practices – Monitoring, embedding versions, performance, cost
Frequently Asked Questions
- Where can I learn the required skills?
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neo4j-graphrag documentation and examples
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GraphAcademy courses on Neo4j fundamentals and Cypher
- Can I retake the exam?
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Yes. If you do not achieve 80% or want to improve your score, you can retake the exam after 24 hours.
- How will I receive my certification?
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After completing the exam you will see your results by category. You will receive an email with a link to your certificate.
- What resources are allowed during the exam?
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You may use Neo4j documentation, the Cypher manual, neo4j-graphrag documentation, and personal notes. You may not use AI assistants, Stack Overflow, or course answer keys.
Prerequites
We recommend completing the following courses to learn everything you need to know to pass this certification.
- Neo4j Fundamentals
- Cypher Fundamentals
- Get started with Graph Data Science
- Neo4j & GenerativeAI Fundamentals
- Building Knowledge Graphs with LLMs
- Constructing Knowledge Graphs with Neo4j GraphRAG for Python
- Introduction to Vector Indexes and Unstructured Data
- Developing with Neo4j MCP Tools
- Building GraphRAG Python MCP tools