There are 24 repositories under graphrag topic.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Memory for AI Agents in 5 lines of code
Neo4j graph construction from unstructured data using LLMs
A simple, easy-to-hack GraphRAG implementation
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as o1,ollama, gemini, grok, qwen, GLM, deepseek, kimi,doubao. Adapted to local llms, vlm, gguf such as llama-3.3 Janus-Pro, Linkage graphRAG
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
基于AI的工作效率提升工具(聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出) | Ai-based productivity tools (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS etc)
RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能,基于本地LLM、embedding模型、reranker模型实现,支持GraphRAG,无须安装任何第三方agent库。
ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation workflow by leveraging the power of language models.
The agentic AI platform for enterprise. Built by data engineers for data engineers. Complete context engineering and LLM orchestration infrastructure. Run anywhere - local, cloud, or bare metal.
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines. This tool simplifies graph-based retrieval integration in open web environments.
Neo4j GraphRAG for Python
Awesome-RAG: Collect typical RAG papers and systems.
A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
Python toolkit for building graph-enhanced GenAI applications
添加🚀流式 Web 服务到 GraphRAG,兼容 OpenAI SDK,支持可访问的实体链接🔗,支持建议问题,兼容本地嵌入模型,修复诸多问题。Add streaming web server to GraphRAG, compatible with OpenAI SDK, support accessible entity link, support advice question, compatible with local embedding model, fix lots of issues.
参考GraphRag使用 Semantic Kernel 来实现的dotnet版本,可以使用NuGet开箱即用集成到项目中
OriginTrail Decentralized Knowledge Graph network node
The latest graphrag interface is used, using the local ollama to provide the LLM interface.Support for using the pip installation
GraphRAG的应用实例,项目特点在于提供了替换OpenAI模型的方法,并通过修改原有提示和切分文档的方法,提高了GraphRAG处理中文内容的能力。
GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization
GraphRAG-Ollama-UI + GraphRAG4OpenWebUI 融合版(有gradio webui配置生成RAG索引,有fastapi提供RAG API服务)
See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.
Deep Research through Multi-Agents, using GraphRAG
A collection of LlamaIndex Workflows-powered agents that convert natural language to Cypher queries designed to retrieve information from a Neo4j database to answer the question with included benchmark data.
The integration of HugeGraph with AI/LLM & GraphRAG
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
The long-term memory for your Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents