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

结合知识库管理的 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain v1 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.

High-performance GraphRAG inspired from LightRag written in Rust

基于 LightRAG、LangGraph、MCP、RagFlow、微调LLMs宝可梦主题的智能聊天助手

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

五星大厨:全面Multi-Agent 的客服机器人，基于langraph实现，txt2sql ,txt2cypher, lightrag, 多模态 等

LightRAG与GraphRAG在索引构建、检索测试中的耗时、模型请求次数、Token消耗金额、检索质量等方面进行对比

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We believe that every SOTA result is only valid on its own dataset. RAGView provides a unified evaluation platform to benchmark different RAG methods on your specific data.

基于LightRAG+Deepseek API框架的知识图谱测试

A Go library implementation of LightRAG - an advanced Retrieval-Augmented Generation (RAG) system that uniquely combines vector databases with graph database relationships to enhance knowledge retrieval.

为酒馆用户搭建LightRAG并连接酒馆，以实现更先进更好用的RAG+酒馆（目前与另一个仓库同步开发中）

Multi-tenant RAG API powered by LightRAG/RAG-Anything. Auto-selects best parser (DeepSeek-OCR/MinerU/Docling) via complexity scoring

A MCP server that is a locally running knowledge base with a hybrid vector and graph RAG engine using LightRAG

一个LightRAG的API模拟器，用于在Openwebui中通过自带的Ollama接口使用LightRAG；通过对话时使用前缀，还可以实现lightrag的模式切换。

A comprehensive MCP server for LightRAG integration with 22 tools for document management, querying, knowledge graph operations, and system management

LightRAG with Neo4j Example Project

Implemention based on lightrag and nano-graphrag to connect with psql

LightRAG for dotNet

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A multimodal RAG dashboard and interactive 3D Knowledge Graph. Process documents locally with Ollama or via Cloud APIs, powered by LightRAG, RAG-Anything and Neo4j.

Index a pdf library for light-rag using gpt-4o-mini + chatbot

a llm plugin of dify for lightrag

A cloud-native RAG (Retrieval Augmented Generation) service API built on LightRAG framework, offering plug-and-play knowledge-enhanced generation capabilities.

A CaCoCot Structure with LightRAG implementation.

The LightRAG MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with LightRAG's HTTP APIs, enabling AI assistants and language models to interact with Retrieval-Augmented Generation capabilities through a standardized interface.

爬取东方财富网站上的任意时间段研报+LightRAG研报数据库

After exploring KAG, GraphRAG, and LightRAG, I found them powerful but complex and hard to customize. Introducing SmartGraphQA — a lightweight, modular KG-based QA system that: ✅ Reduces LLM hallucinations ✅ Combines knowledge graph and vector retrieval ✅ Enables accurate, explainable answers ✅ Supports easy extension and domain customization

AI-powered learning analytics platform with A2A multi-agent pipeline — xAPI behavioral tracking, at-risk detection, and automated PDF/DOCX reports for instructional designers.