Local LightRAG: A GraphRAG Alternative but Fully Local with Ollama
Science & Technology
Introduction
In a previous video, we explored LightRAG, a streamlined, efficient retrieval-augmented generation (RAG) system that merges knowledge graphs with embedding-based retrieval. This setup serves as an excellent alternative to Microsoft's GraphRAG. Recently, LightRAG added support for local models through Ollama and enhanced the visualization of its graph element. In this article, I will guide you through the process of setting up LightRAG using Ollama, enabling everything to run locally on your machine.
Getting Started
Before diving in, I encourage you to view my previous video, linked in the main GitHub repository, to gain a solid understanding of how LightRAG functions.
Step 1: Clone the Repository
The first step is to clone the LightRAG repository. If you have already cloned it, make sure to update it with the following command: