RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Updated
Sep 15, 2024 - Python
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Neo4j graph construction from unstructured data using LLMs
Deterministic LLMs Outputs for AI Applications and AI Agents
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.
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).
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.
A Knowledge Graph Brain 🧠 for World Wide Web Surfers. Never forget anything you see on the Internet
OriginTrail Decentralized Knowledge Graph network node
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
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.
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.
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.
The best long-term memory for Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents
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