Using Neo4j with LangChain
1h
Integrate Neo4j with LangChain to build GraphRAG applications: vector retrievers, graph-enhanced retrieval, text-to-Cypher, and an LLM agent.
Level
Advanced
Advanced Neo4j training for production systems: GraphRAG knowledge graph construction in Python, LangChain integration, and path finding with GDS.
At this level the question is no longer "how does Neo4j work?" but "how do I make this perform in production?". These courses tackle the concerns that surface once a prototype meets real users: GenAI retrieval strategies that ground every answer in a knowledge graph, framework integrations, and path finding across graphs too large to eyeball. Start with Using Neo4j with LangChain, then go deeper into graph construction with Constructing Knowledge Graphs with Neo4j GraphRAG for Python. Path Finding with GDS stands alone and can be taken in any order.
5 courses~6h
Constructing Knowledge Graphs with Neo4j GraphRAG for Python
2h
Construct knowledge graphs from unstructured data with Neo4j GraphRAG for Python. Define schemas, tune chunking, and build GraphRAG retrievers.
Path Finding with GDS
1h
Find shortest paths in Neo4j using Cypher and Graph Data Science. Run Dijkstra and Yen graph algorithms on a weighted airport network, hands-on.
Neo4j Certified Professional
1h
Earn the Neo4j Certified Professional credential. 80-question online exam covering Cypher, graph data modeling, importing, indexes, and driver development. Free, instant results.
Neo4j Graph Data Science Certification
1h
Prove your graph data science skills. This certification tests your knowledge of GDS algorithms, graph projections, and analytics workflows in Neo4j.