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Graph RAG with LangChain and Neo4j

Explore Graph RAG with LangChain and Neo4j: combine hybrid retrieval and graph memory to enrich responses, structure reasoning and maintain a relational knowledge history.

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Graph RAG avec LangChain et Neo4j

Training programme overview

Explore Graph RAG with LangChain and Neo4j: combine hybrid retrieval and graph memory to enrich responses, structure reasoning and maintain a relational knowledge history.

This course examines integrating LangChain with Neo4j to represent relations and contexts within a RAG pipeline.

It studies hybrid retrieval mixing vectors and graph queries, long-term memory construction and using the graph to guide information assembly.

The course shows how exploiting relational structure can improve relevance, traceability and coherence of generated answers.

1courses
3lessons
14activities
0exercises
11videos

Training · Advanced

Courses included in this training programme

Graph RAG with LangChain and Neo4j

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.

3 lessons · 14 activities · 0 exercises · 11 videos

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