Build Your First GraphRAG Pipeline with Neo4j

​Build Your First GraphRAG Pipeline with Neo4j

​Hosted by TMLC Academy

​Standard RAG is powerful, but it often struggles when information is spread across multiple documents, entities, and relationships.

​In this live TMLC Academy session, we will build a practical GraphRAG pipeline using Neo4j, where you will learn how to combine knowledge graphs, vector search, and graph traversal to create a more connected and intelligent retrieval system.

​This session is designed for AI learners, developers, engineers, and professionals who want to move beyond basic RAG and understand how GraphRAG systems are built in real-world AI applications.

​What you will learn

​✅ What GraphRAG is and how it differs from standard vector RAG
✅ Knowledge graph fundamentals: entities, relationships, and multi-hop reasoning
✅ How to set up Neo4j in Docker with vector indexes
✅ How to build an indexing pipeline using entity and relation extraction
✅ How to use a local Ollama model for extraction
✅ How hybrid retrieval works by combining vector search with Cypher graph traversal
✅ How to orchestrate the complete pipeline using LangChain

​Session Details

​Date: Saturday, 23 May 2026
Time: 6:00 PM IST
Platform: Microsoft Teams

​Join TMLC Academy to learn how GraphRAG connects information across documents and helps you build more advanced, production-ready retrieval systems.