πŸ“ˆ GH Trending Explorer 🎲 Surprise me

← all repos

HKUDS / LightRAG

git clone https://github.com/HKUDS/LightRAG.git v1.5.7 Β· 1mo ago

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

+22
stars, 24h Β· #1,712
+~93
stars, 7 days Β· #2,346
+~400
stars, 30 days Β· #2,066
40k
β˜… total Β· +0% this week
5.7k
forks Β· 402 open issues

Star history (as recorded here)

2026-10-20 Β· 40,243 β˜… 2026-10-23 Β· 40,283 β˜…
LanguagePython
LicenseMIT
Created2024-10-02 (2y ago)
Last pushtoday
Watchers297
OwnerOrganization

GitHub topics

Links

README excerpt
# πŸš€ LightRAG: Simple and Fast Retrieval-Augmented Generation
---
## πŸŽ‰ News
- [2026.07]🎯[New Feature]: Add **Smart Heading** recognition feature for word documents.
- [2026.05]🎯[New Feature]: **Merge RagAnything into LightRAG**πŸŽ‰. Multimodal content parsing and extraction via **MinerU / Docling** services.
- [2026.05]🎯[New Feature]: Introducing four selectable text chunking strategies: `Fix`, `Recursive`, `Vector`, and `Paragraph`.
- [2026.05]🎯[New Feature]: **Role-specific LLM configuration** support, 4 distinct roles: EXTRACT, QUERY, KEYWORDS, and VLM, with independent LLM settings.
- [2026.03]🎯[New Feature]: Integrated **OpenSearch** as a unified storage backend, providing comprehensive support for all four LightRAG storage.
- [2026.03]🎯[New Feature]: Introduced a setup wizard. Support for local deployment of embedding, reranking, and storage backends via Docker.
- [2025.11]🎯[New Feature]: Integrated **RAGAS for Evaluation** and **Langfuse for Tracing**. Updated the API to return retrieved contexts alongside query results to support context precision metrics.
- [2025.10]🎯[Scalability Enhancement]: Eliminated processing bottlenecks to support **Large-Scale Datasets Efficiently**.
- [2025.09]🎯[New Feature] Enhances knowledge graph extraction accuracy for **Open-Sourced LLMs** such as Qwen3-30B-A3B.
- [2025.08]🎯[New Feature] **Reranker** is now supported, significantly boosting performance for mixed queries (set as default query mode).
- [2025.08]🎯[New Feature] Added **Document Deletion** with automatic KG regeneration to ensure optimal query performance.
- [2025.06]🎯[New Release] Our team has released RAG-Anything β€” an **All-in-One Multimodal RAG** system for seamless processing of text, images, tables, and equations.
- [2025.06]🎯[New Feature] LightRAG now supports comprehensive multimodal data handling through RAG-Anything integration, enabling seamless document parsing and RAG capabilities across diverse formats including PDFs, images, Office documents, tables, and formulas. Please refer to the new multimodal section for details.
- [2025.03]🎯[New Feature] LightRAG now supports citation functionality, enabling proper source attribution and enhanced document traceability.
- [2025.02]🎯[New Feature] You can now use MongoDB as an all-in-one storage solution for unified data management.
- [2025.02]🎯[New Release] Our team has released VideoRAG-a RAG system for understanding extremely long-context videos
- [2025.01]🎯[New Release] Our team has released MiniRAG making RAG simpler with small models.
- [2025.01]🎯You can now use PostgreSQL as an all-in-one storage solution for data management.
- [2024.11]🎯[New Resource] A comprehensive guide to LightRAG is now available on LearnOpenCV. β€” explore in-depth tutorials and best practices. Many thanks to the blog author for this excellent contribution!
- [2024.11]🎯[New Feature] Introducing the LightRAG WebUI β€” an interface that allows you to insert, query, and visualize LightRAG knowledge through an intuitive web-