🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
$ git clone https://github.com/datawhalechina/all-in-rag.git▲ +87 ★ this week
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
🍽️基于图RAG技术的AI美食推荐助手 - Datawhale all-in-rag教程实战案例，集成Neo4j图数据库、Milvus向量检索与智能对话系统
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Data from GitHub · snapshot Nov 13, 2026