Road to NODES | Hybrid Retrieval and RAG with Neo4j

This workshop takes you from theory to practice with a fully operational hybrid Retrieval-Augmented Generation (RAG) pipeline - built live in Neo4j. You'll learn how to combine traditional BM25 search with dense vector similarity and graph-native expansion to power more accurate and explainable results.
Over the course of two hours, you’ll create a knowledge graph, run hybrid retrieval directly in the database, and integrate your results into a LangChain-powered RAG application. You’ll leave with a working system you can run on your own machine, complete with a GitHub repo ready for production use.