lightrag

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.

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation

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

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

PhantomCrowd AI Marketing Simulator 2026: Content Spread Forecasting with Local LLM

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.

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

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.

Starter kit for a huge full-stack Web2 app or a whole app factory, on your own PC or a VPS. Sign-in, data, files, design, memory and a knowledge graph come ready, so the agent builds only your product. Work from Telegram by voice. Web4-ready: blockchain payments, agent discovery and a fair rating built from paid work. Open source, MIT. Lagrix.

AWS-native knowledge graph RAG framework unifying two graph-retrieval methodologies — Microsoft GraphRAG community summarization and LightRAG dual-level keyword search — on Amazon Bedrock, Neptune, and OpenSearch. Multi-hop QA over document corpora, with incremental indexing and multilingual support.

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.

Self-hosted AI knowledge base & long-form writing workbench — turn large document collections into traceable, structured documents.

Multi-agent AI/CS learning assistant: LangGraph routing, LightRAG graph RAG, three-layer memory, learning roadmaps. FastAPI + React.

🚀 Complete self-hosted AI stack with 40+ services: Transform YouTube videos & PDFs into AI podcasts (Open Notebook), local LLMs (Ollama CPU/GPU), workflow automation (n8n), AI agents (Flowise), vector databases (Qdrant), German TTS voice, and business tools. One-command Docker deployment. perfect for learning, development, and private teams.

基于autogen开发的政务咨询智能助手

Evidence-driven curriculum operations: turn learning signals into reviewable course changes, then track outcomes over time with knowledge graphs and long-term memory.

ПростоГраф — многопользовательская графовая RAG-система: вопрос-ответ по вашим документам (форк LightRAG).

Model Context Protocol (MCP) server for LightRAG - 30+ tools for RAG and Knowledge Graph operations. Easy installation via npx or uvx.

An MCP server that uses LightRAG and Tree-sitter to build a repository knowledge graph from code and docs, for Q&A and implementation planning.