Learn - AI In Action | AI In Action

Intermediate

Build a Thematic Learning Website

Choose an appropriate learning topic and generate an interactive educational website

Web Development1

Expert

Multi-Agent Collaboration System

Design and implement a multi-agent pipeline consisting of a 'Researcher', 'Writer', and 'Reviewer' that work together to complete the task of generating a high-quality industry report.

Advanced

Autonomous Task Planning Agent

Using LangChain's ReAct (Reasoning + Acting) Agent framework, build an intelligent Agent that can receive high-level goals, autonomously decompose them into subtasks, formulate execution plans, and invoke multiple tools to progressively complete tasks. You will need to equip the Agent with tools such as search, calculation, file read/write, and implement full chain-of-thought tracking and task state management.

Intermediate

Local Knowledge Base Q&A System (RAG)

Build an intelligent Q&A system that supports PDF/text document uploads using LangChain's Document Loaders, text splitters, vector databases, and retrieval chains. Once a user uploads a document, the system can accurately answer questions based on the document's content rather than relying on the model's own training knowledge.

Intermediate

Personal Assistant with Memory

Build a personal assistant with long-term memory using LangChain's Memory module. The assistant should be able to remember the user's name, preferences, and conversation history, and proactively leverage these memories in future interactions to deliver a personalized experience.

Equip Your Agent with a "Toolbox"

Integrate multiple external tools — such as a search engine, calculator, and weather lookup — into a LangChain Agent, enabling it to automatically select and invoke the right tool based on user questions. Through this challenge, you'll master how to define, register, and use LangChain tools, ultimately building an intelligent Agent with true "action capabilities".

Hello, LangChain! Build Your First Conversational Chatbot

Using LangChain's ChatModel and PromptTemplate, build a command-line chatbot that supports multi-turn conversations from scratch. You'll learn how to combine an LLM, prompt templates, and conversation memory into a complete Chain, gaining a solid understanding of LangChain's core architecture.

Advanced

使用Openclaw配置你的超级智能体团队 (Fork)

AI Agents & Automation4

Snake Game (Fork)

Build the classic Snake game with smooth movement, power-ups (speed boost, score multiplier), increasing difficulty, a local leaderboard, and retro-styled graphics.

Game Development1