datawhalechina / all-in-ragView external linksLinks
🔍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/
☆3,874Feb 5, 2026Updated last week
Alternatives and similar repositories for all-in-rag
Users that are interested in all-in-rag are comparing it to the libraries listed below
Sorting:
- 📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/☆209Jan 30, 2026Updated 2 weeks ago
- 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程☆20,932Feb 10, 2026Updated last week
- 📚 从零开始的大语言模型原理与实践教程☆25,910Jan 29, 2026Updated 2 weeks ago
- 《大模型白盒子构建指南》：一个全手搓的Tiny-Universe☆4,487Updated this week
- 本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/☆11,895Jan 10, 2026Updated last month
- 《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程☆28,222Feb 10, 2026Updated last week
- This is the official repo for our paper: "Generative Knowledge-Guided Retrieval System for Construction Disclosure Documents Reviewing"☆21Nov 17, 2025Updated 3 months ago
- ☆680Jan 12, 2026Updated last month
- Docker 教程：从零基础到掌握 Docker☆42Jan 2, 2026Updated last month
- https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成☆1,773Jan 21, 2026Updated 3 weeks ago
- 本教程将全面指导你如何快速搭建自己的AI应用环境，从Docker桌面版的安装与配置开始，到本地部署Dify并自定义AI助手功能，让你轻松实现“猜病例”、“甜蜜哄人”、“新生入学指南”、“小红书读书卡片”与“面试宝典”等多种特色AI应用。并教会你从基础智能体到使用工作流，再到…☆331Dec 21, 2025Updated last month
- 本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）☆23,158Dec 30, 2025Updated last month
- This is a multi agent tutorial based on the CAMEL framework, aimed at understanding how to build an Agent Society from the ground up!☆733Jan 16, 2026Updated last month
- handy-n8n, learn n8n by doing☆99Sep 22, 2025Updated 4 months ago
- 🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!☆39,326Feb 6, 2026Updated last week
- 大模型/LLM推理和部署理论与实践☆376Jul 14, 2025Updated 7 months ago
- An AI-powered content conversion tool that transforms text, web content, or HTML code into beautifully designed card images.一款基于AI的内容转换工…☆33Jul 29, 2025Updated 6 months ago
- 从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/☆283Updated this week
- 一个简单的多模态RAG项目☆299May 13, 2025Updated 9 months ago
- Vibe coding from 0 to 1 ｜把想法做成真正能上线的产品｜首个交互式教程｜零基础也能学会的 AI 编程实战☆2,623Updated this week
- 大模型基础: 一文了解大模型基础知识☆6,752Dec 18, 2025Updated last month
- 理工科-大模型入门实训课程☆117Aug 24, 2025Updated 5 months ago
- 面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版☆23,269Jun 12, 2025Updated 8 months ago
- End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这…☆632Jul 16, 2025Updated 7 months ago
- 每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈☆5,501Feb 5, 2026Updated last week
- 一个构建“听话”提示词的教程☆57Feb 20, 2025Updated 11 months ago
- A simple and trans-platform rag framework and tutorial☆229Jan 17, 2026Updated last month
- 一份全栈式大语言模型参考指南，用最简洁的代码帮助你端到端定义模型从零训练到工程落地的每一个细节☆123Jan 15, 2026Updated last month
- Production-ready platform for agentic workflow development.☆129,672Updated this week
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)☆67,253Updated this week
- "RAG-Anything: All-in-One RAG Framework"☆13,408Jan 26, 2026Updated 3 weeks ago
- RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to creat…☆73,291Updated this week
- 主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题☆12,379Apr 30, 2025Updated 9 months ago
- 科 大讯飞多模态RAG图文问答挑战赛☆58Aug 4, 2025Updated 6 months ago
- 《Agentic Design Patterns》中文翻译版☆7,275Jan 10, 2026Updated last month
- Implementation of my agent used in 2025 AFAC TianChi competition☆29Oct 6, 2025Updated 4 months ago
- 《动手学大模型Dive into LLMs》系列编程实践教程☆19,510Oct 10, 2025Updated 4 months ago
- 基于文心一言和树莓派Pico的最简易桌面宠物☆86Sep 16, 2025Updated 5 months ago
- [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"☆28,269Feb 9, 2026Updated last week