53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.

AIFlowy is an enterprise-grade AI application development platform based on Java, comparable to products like Dify and Coze.

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

LightningRAG is a full-stack Vue + Gin starter with a decoupled frontend and backend, plus built-in, extensible RAG (retrieval-augmented generation): knowledge bases, vector search, and integrations with many LLM and vector-store providers

基于ragflow二次开发的后台管理系统，可以独立运行，支持批量管理知识库、聊天、智能体、用户等，解决ragflow在后台管理上的痛点。

使用open-webui中的pipelines技术在open-webui中调用ragflow的agent实现基于知识库的智能对话，并拥有美观的界面。

dify框架对接ragflow外部知识库代理服务

a simple lightweight large language model pipeline framework.

Measuring RAG solutions throughput and latency

Private AI stack in one command - GB10 arm64 dgx-spark

一个专注于将多种格式的结构化数据报表，自动转换成类似 RAGFlow 的表格分割（table split）形式的工具。它将复杂的 Excel 表格清洗、标准化后，生成符合 index-content 格式的文本文件，方便直接导入 FastGPT 、Dify等知识库构建平台，实现高效的文档结构化与文本向量化处理。

Fluxograma interativo com chat-bot que auxilia na escolha e visualização da sua estrutura curricular da UnB.

kbs_agent_a2a 智能体协议适配中间件

PPAgent是一个用于连接大模型和消息客户端的机器人框架，可以用来实现各种渠道消息源平台对接大模型、智能体的功能。内置了包括Dify、RagFlow、FastGPT、QAnything、OpenAI、DeepSeek等各种大模型支持，默认支持微信公众号/客服/企微/对话平台、QQ、钉钉、飞书等消息平台。您可以通通过插件扩展消息源、后端模型、消息拦截技能等功能。

win系统使用RAGFlow + Ollama搭建LKB（Local knowledge base）本地知识库

RAGflow at your GenAI flows - for expert-knowledge access based of complex documents

🤖 Build and explore powerful AI agents that solve real-world tasks using tools, memory, and reasoning within a collaborative hub.

Python asynchronous SDK for managing RAGFlow APIs

Automatically discover the best RAGFlow chunking parameters for each document type. Two-phase optimization with LLM-based evaluation.

🔎 深度研搜对话式多智能体 AI Agents，最适合系统学习 DeepAgents 的实战项目｜AI Deep Research Agent 实战 · LangGraph + RAGFlow + Tavily + FastAPI + WebSocket 从0到工程化落地。前后端完整代码全栈可跑，Docker 环境一键部署，配套 ai-agents-from-zero 免费教程与章节代码分支。适合系统学习大模型应用、多智能体 Agent 和企业级 AI 工程落地