RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

A modular graph-based Retrieval-Augmented Generation (RAG) system

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Neo4j graph construction from unstructured data using LLMs

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

A simple, easy-to-hack GraphRAG implementation

LLM Agent Framework in ComfyUI includes 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, moonshot,doubao. Adapted to local llms, vlm, gguf such as llama-3.2, Linkage graphRAG / RAG

Reliable LLM Memory for AI Applications and AI Agents

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).

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.

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.

基于AI的工作效率提升工具 | Retrieval enhancement generation(RAG) project

Neo4j GraphRAG for Python

A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.

Discover the Knowledge Trapped in Data Silos with a Fully Agentic, No-code AI System⚡🚀

OriginTrail Decentralized Knowledge Graph network node

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.

Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.

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

Awesome-RAG: Collect typical RAG papers and systems.