LightRAG: Supercharge AI Search & Content Generation
Quickly enhance AI models with smarter retrieval and context using this Python framework. Ideal for developers and founders building sophisticated knowledge-driven applications.
36,066 stars5,100 forksPythonUpdated 6/2/2026100% free · open source
What it does
LightRAG helps developers quickly build AI applications that retrieve and use relevant information to generate more accurate and contextual responses.
When to use it
•Building AI-powered research assistants that pull from specific knowledge bases
•Creating customer support chatbots with deep, domain-specific knowledge retrieval
•Developing intelligent Q&A systems that dynamically source precise information
Quick start
1Install via pip: `pip install lightrag`
2Define your knowledge base or document collection
3Configure retrieval parameters and embedding models
4Integrate retrieval logic with your generative AI model
Ready-to-paste prompt
from lightrag import Retriever, Generator
retriever = Retriever(documents=['tech_docs.txt'])
response = Generator.augment_with_retrieval(query='How does this system work?')