LangGraph + Neo4j Crash Course for Beginners: AI Agent Development using Knowldege Graph | Hands-on! - GraphRAG vs LightRAG: Which One Should You Actually Use? (Full Breakdown)

GraphRAG vs LightRAG - which one should you use? I burned through $400 in API costs testing Microsoft's GraphRAG. Then I found LightRAG, which does the same job for 6000x less. In this video, I break down exactly how both systems work, the real costs, and when to use each one. 🔗 LINKS & RESOURCES ━━━━━━━━━━━━━━━━━━━ 📦 GraphRAG (Microsoft): https://github.com/microsoft/graphrag 📦 LightRAG (HKU): https://github.com/HKUDS/LightRAG 📄 GraphRAG Paper: https://arxiv.org/abs/2404.16130 📄 LightRAG Paper: https://arxiv.org/abs/2410.05779 ━━━━━━━━━━━━━━━━━━━ 00:00 Intro 00:43 Agenda 01:45 GraphRAG 03:23 LightRAG 📌 KEY TAKEAWAYS ━━━━━━━━━━━━━━━━━━━ - GraphRAG uses community detection + hierarchical summaries (Microsoft) - LightRAG uses dual-level retrieval + vector search (6000x cheaper queries) - Both require LLM calls for indexing - cost savings are in the QUERY phase - GraphRAG: best for global "big picture" questions on static data - LightRAG: best for cost-efficiency, fast updates, and scaling 💡 WHO IS THIS FOR ━━━━━━━━━━━━━━━━━━━ This video is for developers, AI engineers, and anyone building RAG systems who wants to understand graph-based retrieval. Whether you're choosing between GraphRAG and LightRAG, or just learning how knowledge graphs improve RAG, this breakdown covers everything you need to know. 🔍 TOPICS COVERED ━━━━━━━━━━━━━━━━━━━ - GraphRAG vs LightRAG comparison - How GraphRAG works (Leiden algorithm, community detection) - How LightRAG works (dual-level retrieval) - RAG system costs and token usage - Knowledge graph for RAG - When to use GraphRAG vs LightRAG - Microsoft GraphRAG tutorial - LightRAG tutorial - Reducing LLM API costs #GraphRAG #LightRAG #RAG #LLM #AI #MachineLearning #KnowledgeGraph #AIEngineering #Tutorial