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.

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

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

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.

Deploys your OS, databases, and SSL on your VPS in just 10 minutes. Orchestrates a team of AI agents for coding, marketing, and sales. The built-in optimizer saves up to 90% on token costs, letting you build and manage your online business directly through chat. Fully open-source.

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.

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.

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

🚀 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

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

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.

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