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0-python-fundamentals
0.0-Introduction
0.1-Python-basics
0.2-OOP
0.3-Python-and-AI
1-langgraph-basics
1.0-Introduction
1.1-LangGraph-1.x
1.2-Fast-example
1.3-LangChain-review
1.4-LangGraph-basics
1.5-Glossary
1.7-LangGraph-cheatsheet
1.8-Conclusion
2-agent-chain-router
2.0-Introduction
2.1-Simple-graph
2.2-Chain
2.3-Router
2.4-Agent
2.5-Memory
2.6-Deployment
2.7-Conclusion
3-state-reducer-memory
3.0-Introduction
3.1-State-schema
3.2-Reducers
3.3-Multiple-Schemas
3.4-Trim-Filter-Messages
3.5-ChatBot-Summarization
3.6-External-memory
3.7-Conclusion
4-human-in-the-loop
4.0-Introduction
4.1-Breakpoints
4.2-Dynamic-Breakpoints
4.3-State-Editing-Human-Feedback
4.4-Streaming-Interruption
4.5-Time-Travel
4.6-Human-in-the-Loop
4.7-Conclusion
5-advanced-patterns
5.0-Introduction
5.1-Parallelization
5.2-Sub-Graph
5.3-Map-Reduce
5.4-Research-Assistant
5.5-Conclusion
6-memory-system
6.0-Introduction
6.1-Memory-Agent
6.2-Memory-Store
6.3-Memory-Schema-Profile
6.4-Memory-Schema-Collection
6.5-Conclusion
7-production-deployment
7.0-Introduction
7.1-Creating-Deployment
7.2-Connecting-to-Deployment
7.3-Double-Texting
7.4-Assistants
8-classic-examples
8.0.1-State-node-edge
8.0.2-Routing-function
8.0.4-Conditional-edges
8.1-Agent-Simulation-Evaluation
8.2-Information-Gathering-Prompting
8.3-Code-Assistant
9-deep-research
9.0-Introduction
9.1-Scoping
9.2-Basics
9.3-MCP
9.4-Multi-agents
9.5-Whole-case
9.6-Conclusion
10-trading-agent
10.0-Introduction
10.1-Background
10.2-30000tradingagent
10.3-State
10.4-Agent
10.5-Analyst
10.6-Graph
10.7-Data-flow
10.8-Case-of-NVIDIA
10.8.1-NVIDIA-outcomes
10.9-Conclusion
11-subgraph-mermaid-mcp
11.0-Introduction
11.1-LangGraph-Loop-Patterns
11.2-Visualizing-with-Mermaid
11.3-LangGraph-MCP-Integration
11.4-Middleware
11.5-Command
12-multi-agent-workflows
12.1-Multi-Agent-Introduction
12.1.1-Supervisor-Introduction
12.2-Supervisor-Simple-Example
12.3-Supervisor-Complex-Example
12.4-Multi-Agent-Collaboration
12.5-Hierarchical-Teams
12.9-Supervisor-Cheatsheet
13-agentic-rag
13.1-Introduction
13.2-Intro-of-RAG
13.3-Design-Mode
13.4-Workflow
13.5-Agentic-RAG-Architecture
13.6-Applications
13.7-LangGraph-Agentic-RAG
13.8-Qdrant-Agentic-RAG
13.9-Self-Reflective-RAG
13.10-Corrective-RAG
13.11-Adaptive-RAG
14-deep-agent
14.0-Thinking-in-LangGraph
14.1-Agent-Workflow
14.2-Deep-Agents
14.3-Agent-Builder
14.4-Deep-Agents-Filesystems
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LearnGraph 学习指南