LightRAG is a lightweight Retrieval-Augmented Generation (RAG) framework designed for efficient document retrieval and response generation. It is optimized for speed and lower resource consumption, making it ideal for real-time applications.
Features
- Lightweight and efficient RAG framework for information retrieval
- Optimized for real-time query processing
- Supports various embedding models for document indexing
- Provides a modular architecture for easy customization
- Multi-language support for diverse applications
- Works with local and cloud-based LLMs
Categories
Artificial IntelligenceLicense
MIT LicenseFollow LightRAG
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of LightRAG!