LightRAG: A More Efficient Solution than GraphRAG for RAG Systems?

In this video, I introduce LightRAG, a new, cost-effective retrieval augmented generation (RAG) method that combines knowledge graphs and embedding-based retrieval. Compared to GraphRAG from Microsoft Research, LightRAG offers better performance and lower API costs. I’ll show you how to set up LightRAG on your local machine, explain how entity and relationship extraction works, and compare dual-level retrieval (low, high, and hybrid) with traditional methods. You'll learn about LightRAG’s step-by-step setup, why it’s more affordable than GraphRAG, and how to start using it for your own document retrieval tasks. LINKS: https://github.com/HKUDS/LightRAG https://lightrag.github.io/ https://arxiv.org/pdf/2410.05779 https://microsoft.github.io/graphrag/ https://youtu.be/vX3A96_F3FU 💻 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 TIMESTAMP 00:00 What is LightRAG 01:57 How does it compare to GraphRAG? 03:05 How does LightRAG work? 08:10 How does it compare to other techniques? 10:57 How to setup LightRAG locally 13:52 Indexing your data 16:37 Understanding the Indexing process All Interesting Videos: Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z