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hkuds/lightrag

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

★ 39.6k▲ +3 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 +22026-09-05 +52026-09-06 no data2026-09-07 no data2026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 +32026-09-12 no data2026-09-13 no data2026-09-14 no data2026-09-15 no data2026-09-16 no datalargest one-day increase in the 14 days+5last 14 days · stars per dayhollow = no data

RANKS All-time #168

AT A GLANCE

LANGUAGE
Python
LICENSE
MIT
USAGE
Use, change and redistribute, commercially too. Keep the notice.
ACTIVITY
last commit 3 days ago ()
TOPICS
  • docling
  • genai
  • gpt
  • graphrag
  • knowledge-graph
  • large-language-models
  • llm
  • mineru
  • rag
  • ragas
  • retrieval-augmented-generation
HOMEPAGE
https://arxiv.org/abs/2410.05779
REPOSITORY
GitHub ↗
CATEGORY
AI

A summary, not legal advice.

README EXCERPT

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation --- --- 🎉 News - [2026.07]🎯[New Feature]: Add Smart Heading recognition feature for word documents. - [2026.05]🎯[New Feature]: Merge RagAnything into LightRAG 🎉. 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…

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TIMELINE

  1. Repository created
  2. FIRST SEEN BY TESIGN ◌ BACK CATALOG
  3. Last push

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