Database · ai-tools

LightRAG

An MIT-licensed framework for building retrieval-augmented-generation workflows.

Open-source RAG framework

Overview

A verified active MIT-licensed repository for readers comparing retrieval-augmented-generation frameworks.

Website: https://github.com/HKUDS/LightRAG
Pricing model: MIT-licensed open-source repository; no paid public price was asserted in the reviewed sources.
Platform: Source repository and self-managed development workflows
Privacy relevance: RAG systems can index and retrieve sensitive documents; assess data sources, embedding providers, storage, and access controls before use.
Strengths: RAG framework focus; active MIT-licensed repository; repository-owned logo available.
Limitations: Technical setup is required; no standalone commercial site or paid public pricing was asserted in the reviewed sources.
Last reviewed: 2026-08-30