Tutorials

A collection of Chinese-language example projects for prompt engineering, LLM applications, RAG and agents, spanning older LangChain 0.1 code and newer LangChain and LangGraph 1.0 examples covering middleware, structured output and workflows.

• Tutorials

An Open Knowledge Format wiki synthesized from one YouTuber's long-form catalog on agentic coding, AI engineering, RAG and memory systems, dropped next to any project so a coding agent can cite the exact video and timestamp behind an answer.

• Agent memory
• Tutorials

A teaching project that builds a WeChat mini-program from scratch with Taro, React, FastAPI, LangChain, LangGraph and DeepSeek, where a single sentence produces AI-generated learning quizzes, with a retrieval-augmented mode for private documents and a full video and text course.

• Tutorials

A set of 211 free visual flashcards, one concept per card with a diagram and explanation, covering LLM topics from tokenization and attention through RAG, inference and deployment, organised into guided study paths.

• Tutorials

A sample CAP-based application on SAP Business Technology Platform that demonstrates retrieval-augmented generation and LLM-based email analysis using SAP AI Core and SAP HANA Cloud's vector engine.

• RAG
• Tutorials

A structured interview-preparation resource for AI, LLM and applied-AI engineering roles, with worked questions, system-design case studies, coding challenges and company-specific question banks.

• Tutorials

A production-tested knowledge base for deploying OpenClaw with Claude Code, covering server deployment, messaging-app integration, model configuration and security hardening, plus example AI agent business workflows.

• Hosting
• Tutorials

A simulation research repository providing reinforcement- and imitation-learning environments for ROBOTIS robots, built on NVIDIA Isaac Lab, with sim-to-real deployment support.

• Tutorials

An open-source tutorial curriculum that teaches how to build AI agent systems from first principles, from foundational theory through production-grade multi-agent applications.

• Tutorials

A hands-on workshop sample that builds a retrieval-augmented-generation chat application with LangChain.js and OpenAI, deployable to Azure Static Web Apps, Azure Container Apps and Azure AI Search.

• RAG
• Tutorials

A full-stack tutorial project that turns a topic, a block of text, or an uploaded document into an editable slide outline, then generates and exports a native, still-editable PowerPoint file.

• Tutorials

A large collection of 1297 interview questions and answers on Retrieval-Augmented Generation, covering 52 RAG architectures, system design scenarios, and production failure modes for AI/ML engineers.

• RAG
• Tutorials

A step-by-step, notebook-based tutorial that builds a retrieval-augmented-generation pipeline meant to stay accurate at a scale of ten million or more documents, ending in a self-correcting agent that cites and verifies its own claims.

• RAG
• Tutorials

A collection of 370 Chinese-language lecture notes covering AI and LLM courses from Stanford, Berkeley, MIT and KAIST, compiled from public course videos, slides and articles and published as a searchable site plus LaTeX source.

• Tutorials

A hands-on multi-module course that builds a personal research assistant from a hand-rolled agent loop up through a deployed, secured production Model Context Protocol server.

• Tutorials

An example retrieval-augmented-generation project demonstrating question answering over an internal document set using a locally deployed large language model.

• RAG
• Tutorials

A GitHub Skills exercise that walks an intermediate developer through building a multi-tier fitness application using GitHub Copilot's agent mode.

• Tutorials

A collection of developer samples showing how to use the KDB.AI vector database, from getting-started guides to industry-specific retrieval-augmented generation use cases.

• Databases
• Tutorials

A Swift reimplementation of a Claude Code-style coding agent, rebuilt one stage at a time to test which architectural choices actually make a coding agent work well.

• Coding agents
• Tutorials

A four-course, hands-on learning path, with free accompanying videos, for building AI agents with AWS's Strands Agents framework from fundamentals through production deployment.

• Tutorials

A set of runnable, graded example agents for the telecom industry, built to run on Red Hat OpenShift AI, showing how to turn a proven experiment into a governed agent workload.

• Tutorials

A growing series of blog posts and videos teaching AI agent concepts step by step, from function calling and agent loops to multi-agent orchestration and evaluation.

• Tutorials

A companion code library for a Manning book that teaches how LLM agents and multi-agent systems work by building one from first principles, without relying on an existing framework.

• Tutorials
• Books

A reference architecture demonstrating a multi-agent chatbot built with Strands Agents and Amazon Bedrock AgentCore, combining tool execution, memory, and browser automation.

• Agent frameworks
• Tutorials