Yu AI Agent (YuManus)
✨A tutorial project for an AI Love Master app and ReAct autonomous agent built on Spring Boot 3 and Java 21, featuring Spring AI, RAG, Tool Calling, and MCP practices.
A tutorial project for an AI Love Master app and ReAct autonomous agent built on Spring Boot 3 and Java 21, featuring Spring AI, RAG, Tool Calling, and MCP practices.
A modular Python toolkit developed by the University of Innsbruck that integrates information retrieval, re-ranking, and RAG generation, featuring 40+ pre-processed datasets and single-line pipeline construction.
An open-source collection of tutorials and runnable scripts for over 30 advanced Retrieval-Augmented Generation (RAG) techniques, including Graph RAG, Agentic RAG, and various retrieval optimization strategies, implemented primarily with LangChain.
Official code repository for the O'Reilly book "Hands-On Large Language Models". Features 12 core chapters and bonus content covering Tokens, Transformers, RAG, and Fine-tuning. Includes 300+ illustrations and runnable Jupyter Notebooks optimized for Colab and local environments.
A comprehensive AI engineering hub featuring 93+ production-ready projects with in-depth tutorials and implementations for LLMs, RAGs, AI Agents, and MCP, covering beginner to advanced skill levels.
An agentic graph language assistant framework developed by HKUDS, based on Llama3-8B, unifying predictive tasks (e.g., node classification) and generative tasks (e.g., text summarization) on graph data through collaborative agents for generation, planning, and execution.
A minimal Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes. Build a production-ready Agentic RAG system with LangGraph, conversation memory, and human-in-the-loop query clarification.
AI-Compass is a comprehensive open-source project that provides learning paths and practical guidelines for AI technologies, helping users from beginners to professionals build a complete AI knowledge system from fundamental theory to cutting-edge applications.
A curated collection of autonomous agents (LLM) research papers updated daily, providing the latest AI research findings for researchers and developers。
A comprehensive educational project using SpringAI framework that demonstrates and practices SSE streaming, Agent intelligent systems, knowledge graph RAG, FunctionCall, historical message processing, image generation and understanding, and Embedding technologies.
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