LightRAG
Simple and fast retrieval-augmented generation with graphs
LightRAG is a retrieval-augmented generation system that combines knowledge graphs with vector retrieval for more accurate answers over document collections. It offers a server and API and can be fully self-hosted.
Key features
- Graph-based retrieval
- Fast indexing
- REST API and server
- Multi-model support
Strengths
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 38.6k GitHub stars
- Written in Python
LightRAG replaces
Compare LightRAG
16 head-to-head comparisons.
- LightRAG vs OpenClaw
- LightRAG vs Hermes Agent
- LightRAG vs OpenCode
- LightRAG vs Hugging Face Transformers
- LightRAG vs Langflow
- LightRAG vs Dify
- LightRAG vs PaddleOCR
- LightRAG vs RAGFlow
- LightRAG vs OpenHands
- LightRAG vs screenshot-to-code
- LightRAG vs GraphRAG
- LightRAG vs Letta
- LightRAG vs LLMWare
- LightRAG vs R2R
- LightRAG vs RAGApp
- LightRAG vs Cheshire Cat AI
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