GraphRag vs Normal RAG - Summarise a Whole Book in python!

Microsofts GraphRAG is a powerful algorithm. It isnt perfect, but it can add value if you need your RAG queries to have visibility of your entire text datatbase. If you're looking to learn about GraphRAG✉️ and want to see how it can be used for massive text summarisation, then youre in the right place! 👉 https://github.com/whitew1994WW/GraphRAG 🎥 Channel: @ww_dot ============================ Chapters ============================ 00:00 - Intro 00:37 - What is GraphRAG? 02:32 - Graph Creation 03:18 - Local Search 03:47 - Global Search 04:08 - Neo4j Visualisation 06:28 - Code Walkthrough 10:05 - Streamlit Demo 12:30 - Outro =========================== Stay Connected with Me! ============================ 📧 Email: [email protected] (Consultancy coming soon!) 💬 Discord: https://discord.gg/k3pqPcQzQG 🔗 LinkedIn: www.linkedin.com/in/william-white-data-scientist 👨‍💻 GitHub: https://github.com/whitew1994WW =========================== About =========================== In this videa I explain what microsofts GraphRAG algorithm is and use python to injest a book ('A christmas carol') into Neo4j. I also showcase code showing how to use it in python and give a demo comparing normal RAG to GraphRAG, using a streamlit GUI to see the outputs side by side. 📌 Tags: #AI #LangGraph #AgenticAI #OpenAI #GPT4 #Python #EmailAssistant #APIs #AIResearch #RenderDeployment #GraphRAG #AIVisualization