Graph RAG with LangChain and Neo4j

Course overview

Learn to build a Graph RAG using LangChain and Neo4j to enhance information retrieval. The course covers creating nodes and relationships, lexical graphs, hybridizing with vector search, and entity-resolution techniques to improve RAG reliability.

Fundamentals: how graphs relate to Retrieval-Augmented Generation (RAG).

Hands-on creation of nodes and relationships in Neo4j, and storing graph-linked documents.

Lexical graph models: breaking content into acts and building hierarchical lexical graphs.

Improving retrieval: entity resolution, using extracted entities, graph-based resolution methods and evaluation with RAGAS.