How tonydeb42/agentic-ai-a-beginner-s-handbook works
This repository is a notebook-first learning handbook, not a deployable agent application. Its main workflow is for a learner to follow the curriculum, run chapter notebooks, and progress from agent fundamentals through retrieval and safeguards to evaluation and serving. The README documents the chapter capabilities and recommended order; the notebook contents were not provided, so the graph does not infer runtime calls or integrations within them.
Main entry points: README.md Curriculum guide · 2. Langraph.ipynb Graphs and MCP · 3. Vectorless Rag.ipynb Vectorless RAG · 4. Deepagents.ipynb Planning and delegation
Components 9
Agent Building
- LLM tools and approvals
1. Langchain.ipynb - Graphs and MCP
2. Langraph.ipynb
Agent Capabilities
- Vectorless RAG
3. Vectorless Rag.ipynb - Planning and delegation
4. Deepagents.ipynb
Quality and Serving
- Guardrails and review
5. Guardrails.ipynb - LLM evaluation
6. LLM Evaluation.ipynb - Model gateway
7. LLM Gateway.ipynb
Other components
- Learner
- Curriculum guide
README.md
Connections 14
- Learner → Curriculum guide: follows curriculum
README.md - Curriculum guide → LLM tools and approvals: links chapter
README.md - Curriculum guide → Graphs and MCP: links chapter
README.md - Curriculum guide → Vectorless RAG: links chapter
README.md - Curriculum guide → Planning and delegation: links chapter
README.md - Curriculum guide → Guardrails and review: links chapter
README.md - Curriculum guide → LLM evaluation: links chapter
README.md - Curriculum guide → Model gateway: links chapter
README.md - LLM tools and approvals → Graphs and MCP: study next
README.md - Graphs and MCP → Vectorless RAG: study next
README.md - Vectorless RAG → Planning and delegation: study next
README.md - Planning and delegation → Guardrails and review: study next
README.md - Guardrails and review → LLM evaluation: study next
README.md - LLM evaluation → Model gateway: study next
README.md