Local LightRAG: A GraphRAG Alternative but Fully Local with Ollama

In this video, we explore how to set up and run LightRAG—a retrieval augmented generation (RAG) system that combines knowledge graphs with embedding-based retrieval—locally using OLLAMA. This video provides a step-by-step guide on cloning the repo, configuring local models like the Qwen2 LLM, adjusting context windows, and visualizing knowledge graphs generated from example data such as "A Christmas Carol" by Charles Dickens. 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 LightRAG with local models 01:38 Setup with Ollama 02:53 Serving Embeddings with Ollama 03:40 Changing the context window of the LLM 07:00 Configuring the Ingestion process 08:12 Advanced RAG Course 09:14 Indexing and Knowledge Graph Creation 10:45 Testing it out with local models 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