GraphRAG Tutorial with Neo4j & Python | Step-by-Step Knowledge Graph for Finance

AI with Christophe Atten · Beginner ·🧠 Large Language Models ·10mo ago

Skills: RAG Basics90%Tool Use & Function Calling80%

Key Takeaways

This video provides a step-by-step tutorial on building a GraphRAG knowledge graph for finance using Neo4j and Python

Original Description

If you’re a CFO, finance leader, or data professional, this is your guide to the next evolution in financial data intelligence: https://nicolasboucher.online/?aff=208 Learn how to build a GraphRAG application step by step using Neo4j, Python, spaCy, and GPT models. In this tutorial, we extract entities, map relationships, clean data, convert triples into Cypher queries, and build a knowledge graph ready for financial insights. 📌 What you’ll learn in this video: 00:00 Intro & Goal 01:26 What Is a Knowledge Graph? 02:52 From Text to Entities 04:17 GraphRAG in action 🔗 Full article and more resources available at AI Finance Club: https://nicolasboucher.online/?aff=208

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Chapters (4)

Intro & Goal

1:26 What Is a Knowledge Graph?

2:52 From Text to Entities

4:17 GraphRAG in action

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