RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Neo4j graph construction from unstructured data using LLMs
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.
OriginTrail Decentralized Knowledge Graph network node
Dify in ComfyUI includes Omost,GPT-sovits, ChatTTS, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai/gemini interfaces, such as o1,ollama, qwen, GLM, deepseek, moonshot,doubao. Adapted to local llms such as llama/ Peach-9B/qwen/GLM,Linkage neo4j KG，Implemented the function of graphRAG / RAG / html to img.
Deterministic LLMs Outputs for AI Applications and AI Agents
https://TiDB.AI is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage and LlamaIndex. Open source and free to use.
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).
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.
A Knowledge Graph Brain 🧠 for World Wide Web Surfers. Never forget anything you see on the Internet
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
Pushing AI On-Device with GraphRAG 🚀
Facilitate the creation of graph-based Retrieval-Augmented Generation (RAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
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