LLM
Question and Answer based on Anything.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A modular, documentation-driven framework using Cursor custom modes (VAN, PLAN, CREATIVE, IMPLEMENT) to provide persistent memory and guide AI through a structured development workflow with visual …
Alfred Youdao Translate Workflow
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。
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Maximize the potential of Cursor best practices for Automatic Rule and Custom Agent Generation and Agile Workflows
Research papers and blogs to transition to AI Engineering
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Building blocks for rapid development of GenAI applications
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
A simple, easy-to-hack GraphRAG implementation
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.