--- title: "ai-engineering-hub" type: "tool" slug: "patchy631-ai-engineering-hub" canonical_url: "https://www.graphcanon.com/tools/patchy631-ai-engineering-hub" github_url: "https://github.com/patchy631/ai-engineering-hub" homepage_url: "https://join.dailydoseofds.com" stars: 36382 forks: 6026 primary_language: "Jupyter Notebook" license: "MIT" categories: ["model-training", "developer-tools"] tags: ["llms", "agents", "ai", "machine-learning", "rag", "mcp"] updated_at: "2026-07-07T18:19:47.94881+00:00" --- # ai-engineering-hub > AI Engineering Hub Repository containing tutorials, projects, and resources for learning about and building Large Language Models (LLMs), Retrieval-Augmented Generation models (RAGs), and AI agents. ## Facts - Repository: https://github.com/patchy631/ai-engineering-hub - Homepage: https://join.dailydoseofds.com - Stars: 36,382 · Forks: 6,026 · Open issues: 118 · Watchers: 454 - Primary language: Jupyter Notebook - License: MIT - Last pushed: 2026-06-08T11:18:11+00:00 ## Categories - [Model Training](/categories/model-training.md) - [Developer Tools](/categories/developer-tools.md) ## Tags llms, agents, ai, machine-learning, rag, mcp ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,347) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [browser-use](/tools/browser-use-browser-use.md) - 🌐 Make websites accessible for AI agents. Automate tasks online with ease. (★ 103,315) - [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch (★ 98,711) - [caveman](/tools/juliusbrussee-caveman.md) - Cuts 65% of tokens in AI coding agent responses. (★ 86,150) ## README (excerpt) ```text

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--- # AI Engineering Hub 🚀 Welcome to the **AI Engineering Hub** - your comprehensive resource for learning and building with AI! ## 🌟 Why This Repo? AI Engineering is advancing rapidly, and staying at the forefront requires both deep understanding and hands-on experience. Here, you will find: - **93+ Production-Ready Projects** across all skill levels - In-depth tutorials on **LLMs, RAG, Agents, and more** - Real-world **AI agent** applications - Examples to implement, adapt, and scale in your projects Whether you're a beginner, practitioner, or researcher, this repo provides resources for all skill levels to experiment and succeed in AI engineering. --- ## 📋 Table of Contents - [Getting Started](#-getting-started) - [Newsletter](#-stay-updated-with-our-newsletter) - [Projects by Difficulty](#-projects-by-difficulty) - [Beginner Projects (22)](#-beginner-projects) - [Intermediate Projects (48)](#-intermediate-projects) - [Advanced Projects (23)](#-advanced-projects) - [Contributing](#-contribute-to-the-ai-engineering-hub) - [License](#-license) --- ## 🎯 Getting Started New to AI Engineering? Start here: 1. **Complete Beginners**: Check out the [AI Engineering Roadmap](./ai-engineering-roadmap) for a comprehensive learning path 2. **Learn the Basics**: Start with [Beginner Projects](#-beginner-projects) like OCR apps and simple RAG implementations 3. **Build Your Skills**: Move to [Intermediate Projects](#-intermediate-projects) with agents and complex workflows 4. **Master Advanced Concepts**: Tackle [Advanced Projects](#-advanced-projects) including fine-tuning and production systems --- ## 📬 Stay Updated with Our Newsletter! **Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com) --- ## 🎓 Projects by Difficulty ### 🟢 Beginner Projects Perfect for getting started with AI engineering. These projects focus on single components and straightforward implementations. #### OCR & Vision - [**LaTeX OCR with Llama**](./LaTeX-OCR-with-Llama) - Convert LaTeX equation images to code using Llama 3.2 vision - [**Llama OCR**](./llama-ocr) - 100% local OCR app with Llama 3.2 and Streamlit - [**Gemma-3 OCR**](./gemma3-ocr) - Local OCR with structured text extraction using Gemma-3 - [**Qwen 2.5 OCR**](./qwen-2.5VL-ocr) - Text extraction using Qwen 2.5 VL model #### Chat Interfaces & UI - [**Local ChatGPT with DeepSeek**](./local-chatgpt%20with%20DeepSeek) - Mini-ChatGPT with DeepSeek-R1 and Chainlit - [**Local ChatGPT with Llama**](./local-chatgpt) - ChatGPT clone using Llama 3.2 vision - [**Local ChatGPT with Gemma 3**](./local-chatgpt%20with%20Gemma%203) - Local chat interface with Gemma 3 - [**DeepSeek Thinking UI**](./deepseek-thinking-ui) - ChatGPT with visible reasoning using DeepSeek-R1 - [**Qwen3 Thinking UI**](./qwen3-thinking-ui) - Thinking UI with Qwen3:4B and Streamlit - [**GPT-OSS Thinking UI**](./gpt-oss-thinking-ui) - GPT-OSS with reasoning visualization - [**Streaming AI Chatbot**](./streaming-ai-chatbot) - Real-time AI streaming with Motia framework #### Basic RAG - [**Simple RAG Workflow**](./simple-rag-workflow) - Basic RAG with LlamaIndex and Ollama - [**Document Chat RAG**](./document-chat-rag) - Chat with documents using Llama 3.3 - [**Fastest RAG Stack**](./fastest-rag-stack) - Fast RAG with SambaNova, LlamaIndex, and Qdrant - [**GitHub RAG**](./github-rag) - Chat with GitHub repos locally - [**ModernBERT RAG**](./modernbert-rag) - RAG with ModernBert embeddings - [**Llama 4 RAG**](./llama-4-rag) - R ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/patchy631-ai-engineering-hub`](/api/graphcanon/tools/patchy631-ai-engineering-hub) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_